mcnamara technical aspects of data communicatio n 3ed



Harvey Goldstein Methodological Developments in Data Linkage Harvey Goldstein Methodological Developments in Data Linkage Новинка

Harvey Goldstein Methodological Developments in Data Linkage

A comprehensive compilation of new developments in data linkage methodology The increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates. Linkage and analysis of data across sources remains problematic due to lack of discriminatory and accurate identifiers, missing data and regulatory issues. Recent developments in data linkage methodology have concentrated on bias and analysis of linked data, novel approaches to organising relationships between databases and privacy-preserving linkage. Methodological Developments in Data Linkage brings together a collection of contributions from members of the international data linkage community, covering cutting edge methodology in this field. It presents opportunities and challenges provided by linkage of large and often complex datasets, including analysis problems, legal and security aspects, models for data access and the development of novel research areas. New methods for handling uncertainty in analysis of linked data, solutions for anonymised linkage and alternative models for data collection are also discussed. Key Features: Presents cutting edge methods for a topic of increasing importance to a wide range of research areas, with applications to data linkage systems internationally Covers the essential issues associated with data linkage today Includes examples based on real data linkage systems, highlighting the opportunities, successes and challenges that the increasing availability of linkage data provides Novel approach incorporates technical aspects of both linkage, management and analysis of linked data This book will be of core interest to academics, government employees, data holders, data managers, analysts and statisticians who use administrative data. It will also appeal to researchers in a variety of areas, including epidemiology, biostatistics, social statistics, informatics, policy and public health.
Tsiptsis Konstantinos K. Data Mining Techniques in CRM. Inside Customer Segmentation Tsiptsis Konstantinos K. Data Mining Techniques in CRM. Inside Customer Segmentation Новинка

Tsiptsis Konstantinos K. Data Mining Techniques in CRM. Inside Customer Segmentation

7602.42 руб. или Купить в рассрочку!
This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a technical and a business perspective to cover the needs of business users who are looking for a practical guide on data mining. It focuses on Customer Segmentation and presents guidelines for the development of actionable segmentation schemes. By using non-technical language it guides readers through all the phases of the data mining process.
Knipe C. Lynn Thermal Processing of Ready-to-Eat Meat Products Knipe C. Lynn Thermal Processing of Ready-to-Eat Meat Products Новинка

Knipe C. Lynn Thermal Processing of Ready-to-Eat Meat Products

18701.4 руб. или Купить в рассрочку!
Thermal Processing of Ready-to-Eat Meat Products provides critical technical information on all aspects of thermal processing of RTE meat products. Edited and authored by the most experienced and knowledgeable people in the meat industry on this subject, the book addresses all technical and regulatory aspects of the production of RTE meat products, such as heat and mass transfer, pathogen lethality, post-packaging pasteurization, sanitary design, predictive equations and supportive documentation for HACCP.
Oliver Ibe C. Fundamentals of Data Communication Networks Oliver Ibe C. Fundamentals of Data Communication Networks Новинка

Oliver Ibe C. Fundamentals of Data Communication Networks

10261.41 руб. или Купить в рассрочку!
What every electrical engineering student and technical professional needs to know about data exchange across networks While most electrical engineering students learn how the individual components that make up data communication technologies work, they rarely learn how the parts work together in complete data communication networks. In part, this is due to the fact that until now there have been no texts on data communication networking written for undergraduate electrical engineering students. Based on the author’s years of classroom experience, Fundamentals of Data Communication Networks fills that gap in the pedagogical literature, providing readers with a much-needed overview of all relevant aspects of data communication networking, addressed from the perspective of the various technologies involved. The demand for information exchange in networks continues to grow at a staggering rate, and that demand will continue to mount exponentially as the number of interconnected IoT-enabled devices grows to an expected twenty-six billion by the year 2020. Never has it been more urgent for engineering students to understand the fundamental science and technology behind data communication, and this book, the first of its kind, gives them that understanding. To achieve this goal, the book: Combines signal theory, data protocols, and wireless networking concepts into one text Explores the full range of issues that affect common processes such as media downloads and online games Addresses services for the network layer, the transport layer, and the application layer Investigates multiple access schemes and local area networks with coverage of services for the physical layer and the data link layer Describes mobile communication networks and critical issues in network security Includes problem sets in each chapter to test and fine-tune readers’ understanding Fundamentals of Data Communication Networks is a must-read for advanced undergraduates and graduate students in electrical and computer engineering. It is also a valuable working resource for researchers, electrical engineers, and technical professionals.
Antonios Chorianopoulos Effective CRM using Predictive Analytics Antonios Chorianopoulos Effective CRM using Predictive Analytics Новинка

Antonios Chorianopoulos Effective CRM using Predictive Analytics

A step-by-step guide to data mining applications in CRM. Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques. The book is organized into three parts. Part one provides a methodological roadmap, covering both the business and the technical aspects. The data mining process is presented in detail along with specific guidelines for the development of optimized acquisition, cross/ deep/ up selling and retention campaigns, as well as effective customer segmentation schemes. In part two, some of the most useful data mining algorithms are explained in a simple and comprehensive way for business users with no technical expertise. Part three is packed with real world case studies which employ the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Case studies from industries including banking, retail and telecommunications are presented in detail so as to serve as templates for developing similar applications. Key Features: Includes numerous real-world case studies which are presented step by step, demystifying the usage of data mining models and clarifying all the methodological issues. Topics are presented with the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Accompanied by a website featuring material from each case study, including datasets and relevant code. Combining data mining and business knowledge, this practical book provides all the necessary information for designing, setting up, executing and deploying data mining techniques in CRM. Effective CRM using Predictive Analytics will benefit data mining practitioners and consultants, data analysts, statisticians, and CRM officers. The book will also be useful to academics and students interested in applied data mining.
Clifford Matthews IMechE Engineers' Databook Clifford Matthews IMechE Engineers' Databook Новинка

Clifford Matthews IMechE Engineers' Databook

A completely revised and expanded fourth edition of this best-selling pocket guide. Engineers' Data Book provides a concise and useful source of up-to-date essential information for the student or practising engineer. Updated, expanded edition Easy to use Handy reference guide Core technical data
Mourad Elloumi Biological Knowledge Discovery Handbook. Preprocessing, Mining and Postprocessing of Biological Data Mourad Elloumi Biological Knowledge Discovery Handbook. Preprocessing, Mining and Postprocessing of Biological Data Новинка

Mourad Elloumi Biological Knowledge Discovery Handbook. Preprocessing, Mining and Postprocessing of Biological Data

14213.1 руб. или Купить в рассрочку!
The first comprehensive overview of preprocessing, mining, and postprocessing of biological data Molecular biology is undergoing exponential growth in both the volume and complexity of biological data—and knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD)—providing in-depth fundamental and technical field information on the most important topics encountered. Written by top experts, Biological Knowledge Discovery Handbook: Preprocessing, Mining, and Postprocessing of Biological Data covers the three main phases of knowledge discovery (data preprocessing, data processing—also known as data mining—and data postprocessing) and analyzes both verification systems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological Data Mining Combining sound theory with practical applications in molecular biology, Biological Knowledge Discovery Handbook is ideal for courses in bioinformatics and biological KDD as well as for practitioners and professional researchers in computer science, life science, and mathematics.
Jerome Beranger The Algorithmic Code of Ethics. Ethics at the Bedside of the Digital Revolution Jerome Beranger The Algorithmic Code of Ethics. Ethics at the Bedside of the Digital Revolution Новинка

Jerome Beranger The Algorithmic Code of Ethics. Ethics at the Bedside of the Digital Revolution

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The technical progress illustrated by the development of Artificial Intelligence (AI), Big Data technologies, the Internet of Things (IoT), online platforms, NBICs, autonomous expert systems, and the Blockchain let appear the possibility of a new world and the emergence of a fourth industrial revolution centered around digital data. Therefore, the advent of digital and its omnipresence in our modern society create a growing need to lay ethical benchmarks against this new religion of data, the «dataisme».
Jasmina Hasanhodzic The Evolution of Technical Analysis. Financial Prediction from Babylonian Tablets to Bloomberg Terminals Jasmina Hasanhodzic The Evolution of Technical Analysis. Financial Prediction from Babylonian Tablets to Bloomberg Terminals Новинка

Jasmina Hasanhodzic The Evolution of Technical Analysis. Financial Prediction from Babylonian Tablets to Bloomberg Terminals

1937.15 руб. или Купить в рассрочку!
A comprehensive history of the evolution of technical analysis from ancient times to the Internet age Whether driven by mass psychology, fear or greed of investors, the forces of supply and demand, or a combination, technical analysis has flourished for thousands of years on the outskirts of the financial establishment. In The Evolution of Technical Analysis: Financial Prediction from Babylonian Tablets to Bloomberg Terminals, MIT's Andrew W. Lo details how the charting of past stock prices for the purpose of identifying trends, patterns, strength, and cycles within market data has allowed traders to make informed investment decisions based in logic, rather than on luck. The book Reveals the origins of technical analysis Compares and contrasts the Eastern practices of China and Japan to Western methods Details the contributions of pioneers such as Charles Dow, Munehisa Homma, Humphrey B. Neill, and William D. Gann The Evolution of Technical Analysis explores the fascinating history of technical analysis, tracing where technical analysts failed, how they succeeded, and what it all means for today's traders and investors.
Alfred Brendel. Liszt: Annees De Pelerinage Alfred Brendel. Liszt: Annees De Pelerinage Новинка

Alfred Brendel. Liszt: Annees De Pelerinage

In this 1986 performance available for the first time on DVD, Alfred Brendel - among the world's foremost pianists and leading experts on Liszt - gracefully melds the technical and poetic aspects of one of the most rewarding of all Romantic piano works.
Robin A. de Graaf In Vivo NMR Spectroscopy. Principles and Techniques Robin A. de Graaf In Vivo NMR Spectroscopy. Principles and Techniques Новинка

Robin A. de Graaf In Vivo NMR Spectroscopy. Principles and Techniques

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Presents basic concepts, experimental methodology and data acquisition, and processing standards of in vivo NMR spectroscopy This book covers, in detail, the technical and biophysical aspects of in vivo NMR techniques and includes novel developments in the field such as hyperpolarized NMR, dynamic 13C NMR, automated shimming, and parallel acquisitions. Most of the techniques are described from an educational point of view, yet it still retains the practical aspects appreciated by experimental NMR spectroscopists. In addition, each chapter concludes with a number of exercises designed to review, and often extend, the presented NMR principles and techniques. The third edition of In Vivo NMR Spectroscopy: Principles and Techniques has been updated to include experimental detail on the developing area of hyperpolarization; a description of the semi-LASER sequence, which is now a method of choice; updated chemical shift data, including the addition of 31P data; a troubleshooting section on common problems related to shimming, water suppression, and quantification; recent developments in data acquisition and processing standards; and MatLab scripts on the accompanying website for helping readers calculate radiofrequency pulses. Provide an educational explanation and overview of in vivo NMR, while maintaining the practical aspects appreciated by experimental NMR spectroscopists Features more experimental methodology than the previous edition End-of-chapter exercises that help drive home the principles and techniques and offer a more in-depth exploration of quantitative MR equations Designed to be used in conjunction with a teaching course on the subject In Vivo NMR Spectroscopy: Principles and Techniques, 3rd Edition is aimed at all those involved in fundamental and/or diagnostic in vivo NMR, ranging from people working in dedicated in vivo NMR institutes, to radiologists in hospitals, researchers in high-resolution NMR and MRI, and in areas such as neurology, physiology, chemistry, and medical biology.
Walter Piegorsch W. Statistical Data Analytics. Foundations for Data Mining, Informatics, and Knowledge Discovery Walter Piegorsch W. Statistical Data Analytics. Foundations for Data Mining, Informatics, and Knowledge Discovery Новинка

Walter Piegorsch W. Statistical Data Analytics. Foundations for Data Mining, Informatics, and Knowledge Discovery

8740.59 руб. или Купить в рассрочку!
A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and ‘big data’ increasingly take center stage in our modern, knowledge-driven society, supported by advances in computing power, automated data acquisition, social media development and interactive, linkable internet software. This book presents a coherent, technical introduction to modern statistical learning and analytics, starting from the core foundations of statistics and probability. It includes an overview of probability and statistical distributions, basics of data manipulation and visualization, and the central components of standard statistical inferences. The majority of the text extends beyond these introductory topics, however, to supervised learning in linear regression, generalized linear models, and classification analytics. Finally, unsupervised learning via dimension reduction, cluster analysis, and market basket analysis are introduced. Extensive examples using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, astronomy, socioeconomics, marketing, advertising and finance, among many others. Statistical Data Analytics: Focuses on methods critically used in data mining and statistical informatics. Coherently describes the methods at an introductory level, with extensions to selected intermediate and advanced techniques. Provides informative, technical details for the highlighted methods. Employs the open-source R language as the computational vehicle – along with its burgeoning collection of online packages – to illustrate many of the analyses contained in the book. Concludes each chapter with a range of interesting and challenging homework exercises using actual data from a variety of informatic application areas. This book will appeal as a classroom or training text to intermediate and advanced undergraduates, and to beginning graduate students, with sufficient background in calculus and matrix algebra. It will also serve as a source-book on the foundations of statistical informatics and data analytics to practitioners who regularly apply statistical learning to their modern data.
David Marco Universal Meta Data Models David Marco Universal Meta Data Models Новинка

David Marco Universal Meta Data Models

3880.76 руб. или Купить в рассрочку!
The heart of the book provides the complete set of models that will support most of an organization's core business functions, including universal meta models for enterprise-wide systems, business meta data and data stewardship, portfolio management, business rules, and XML, messaging, and transactions Developers can directly adapt these models to their own businesses, saving countless hours of development time Building effective meta data repositories is complicated and time-consuming, and few IT departments have the necessary expertise to do it right-which is why this book is sure to find a ready audience Begins with a quick overview of the Meta Data Repository Environment and the business uses of meta data, then goes on to describe the technical architecture followed by the detailed models
Grafton Architects Grafton Architects Новинка

Grafton Architects

A timely overview of the pioneering work of the acclaimed Irish architectural practice Dublin-based Grafton Architects (founded by Yvonne Farrell and Shelley McNamara in...
Galit Shmueli Information Quality. The Potential of Data and Analytics to Generate Knowledge Galit Shmueli Information Quality. The Potential of Data and Analytics to Generate Knowledge Новинка

Galit Shmueli Information Quality. The Potential of Data and Analytics to Generate Knowledge

6840.46 руб. или Купить в рассрочку!
Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools. Technology, however, fails to deliver insights with added value if the quality of the information it generates is not assured. Information Quality (InfoQ) is a tool developed by the authors to assess the potential of a dataset to achieve a goal of interest, using data analysis. Whether the information quality of a dataset is sufficient is of practical importance at many stages of the data analytics journey, from the pre-data collection stage to the post-data collection and post-analysis stages. It is also critical to various stakeholders: data collection agencies, analysts, data scientists, and management. This book: Explains how to integrate the notions of goal, data, analysis and utility that are the main building blocks of data analysis within any domain. Presents a framework for integrating domain knowledge with data analysis. Provides a combination of both methodological and practical aspects of data analysis. Discusses issues surrounding the implementation and integration of InfoQ in both academic programmes and business / industrial projects. Showcases numerous case studies in a variety of application areas such as education, healthcare, official statistics, risk management and marketing surveys. Presents a review of software tools from the InfoQ perspective along with example datasets on an accompanying website. This book will be beneficial for researchers in academia and in industry, analysts, consultants, and agencies that collect and analyse data as well as undergraduate and postgraduate courses involving data analysis.
Reg Morris C. Psychological Management of Stroke Reg Morris C. Psychological Management of Stroke Новинка

Reg Morris C. Psychological Management of Stroke

10032.82 руб. или Купить в рассрочку!
Psychological Management of Stroke presents a review and synthesis of the current theory and data relating to the assessment, treatment, and psychological aspects of stroke. Provides comprehensive reviews of evidence based practice relating to stroke Written by clinical psychologists working in stroke services Covers a broad range of psychological aspects, including fitness to drive, decision making, prevention of stroke, and involvement of carers and families Reviews and synthesizes new data across a wide range of areas relevant to stroke and the assessment, treatment, and care of stroke survivors and their families Represents a novel approach to the application of psychological theory and principles in the stroke field
Jason Bell Machine Learning. Hands-On for Developers and Technical Professionals Jason Bell Machine Learning. Hands-On for Developers and Technical Professionals Новинка

Jason Bell Machine Learning. Hands-On for Developers and Technical Professionals

3800.25 руб. или Купить в рассрочку!
Dig deep into the data with a hands-on guide to machine learning Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data. The book includes a full complement of Instructor's Materials to facilitate use in the classroom, making this resource useful for students and as a professional reference. At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: Learn the languages of machine learning including Hadoop, Mahout, and Weka Understand decision trees, Bayesian networks, and artificial neural networks Implement Association Rule, Real Time, and Batch learning Develop a strategic plan for safe, effective, and efficient machine learning By learning to construct a system that can learn from data, readers can increase their utility across industries. Machine learning sits at the core of deep dive data analysis and visualization, which is increasingly in demand as companies discover the goldmine hiding in their existing data. For the tech professional involved in data science, Machine Learning: Hands-On for Developers and Technical Professionals provides the skills and techniques required to dig deeper.
Paul Ciana New Frontiers in Technical Analysis. Effective Tools and Strategies for Trading and Investing Paul Ciana New Frontiers in Technical Analysis. Effective Tools and Strategies for Trading and Investing Новинка

Paul Ciana New Frontiers in Technical Analysis. Effective Tools and Strategies for Trading and Investing

4850.96 руб. или Купить в рассрочку!
An essential guide to the most innovative technical trading tools and strategies available In today's investment arena, there is a growing demand to diversify investment strategies through numerous styles of contemporary market analysis, as well as a continuous search for increasing alpha. Paul Ciana, Bloomberg L.P.'s top liason to Technical Analysts worldwide, understands these challenges very well and that is why he has created New Frontiers in Technical Analysis. Paul, along with in-depth contributions from some of the worlds most accomplished market participants developed this reliable guide that contains some of the newest tools and strategies for analyzing today's markets. The methods discussed are based on the existing body of knowledge of technical analysis and have evolved to support, and appeal to technical, fundamental, and quantitative analysts alike. • It answers the question «What are other people using?» by quantifying the popularity of the universally accepted studies, and then explains how to use them • Includes thought provoking material on seasonality, sector rotation, and market distributions that can bolster portfolio performance • Presents ground-breaking tools and data visualizations that paint a vivid picture of the direction of trend by capitalizing on traditional indicators and eliminating many of their faults • And much more Engaging and informative, New Frontiers in Technical Analysis contains innovative insights that will sharpen your investments strategies and the way you view today's market.
Sabine Landau Cluster Analysis Sabine Landau Cluster Analysis Новинка

Sabine Landau Cluster Analysis

7220.48 руб. или Купить в рассрочку!
Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics. This fifth edition of the highly successful Cluster Analysis includes coverage of the latest developments in the field and a new chapter dealing with finite mixture models for structured data. Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. The book is comprehensive yet relatively non-mathematical, focusing on the practical aspects of cluster analysis. Key Features: • Presents a comprehensive guide to clustering techniques, with focus on the practical aspects of cluster analysis. • Provides a thorough revision of the fourth edition, including new developments in clustering longitudinal data and examples from bioinformatics and gene studies • Updates the chapter on mixture models to include recent developments and presents a new chapter on mixture modeling for structured data. Practitioners and researchers working in cluster analysis and data analysis will benefit from this book.
Hwaiyu Geng Internet of Things and Data Analytics Handbook Hwaiyu Geng Internet of Things and Data Analytics Handbook Новинка

Hwaiyu Geng Internet of Things and Data Analytics Handbook

11400.76 руб. или Купить в рассрочку!
This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing for IoT projects. It provides readers with knowledge in planning, designing, and implementing IoT projects. The book is written by experts on the subject matter, including international experts from nine countries in the consumer and enterprise fields of IoT. The text starts with an overview and anatomy of IoT, ecosystem of IoT, communication protocols, networking, and available hardware, both present and future applications and transformations, and business models. The text also addresses big data analytics, machine learning, cloud computing, and consideration of sustainability that are essential to be both socially responsible and successful. Design and implementation processes are illustrated with best practices and case studies in action. In addition, the book: Examines cloud computing, data analytics, and sustainability and how they relate to IoT overs the scope of consumer, government, and enterprise applications Includes best practices, business model, and real-world case studies Hwaiyu Geng, P.E., is a consultant with Amica Research (www.AmicaResearch.org, Palo Alto, California), promoting green planning, design, and construction projects. He has had over 40 years of manufacturing and management experience, working with Westinghouse, Applied Materials, Hewlett Packard, and Intel on multi-million high-tech projects. He has written and presented numerous technical papers at international conferences. Mr. Geng, a patent holder, is also the editor/author of Data Center Handbook (Wiley, 2015).
Cynthia Kase A. Kase on Technical Analysis Workbook. Trading and Forecasting Cynthia Kase A. Kase on Technical Analysis Workbook. Trading and Forecasting Новинка

Cynthia Kase A. Kase on Technical Analysis Workbook. Trading and Forecasting

19080.42 руб. или Купить в рассрочку!
Learn all you need to know about trading and forecasting with technical analysis Kase on Technical Analysis is the ultimate guide to forecasting and trading technically, a comprehensive «all you need to know» review of the topics. Award-winning instructor, Cynthia A. Kase, CMT1, MFTA2, engineer, veteran energy trader, and one of the world's preeminent market technicians, captures her 30 plus years of experience in thirteen half-hour sessions, for more than six in-depth hours on technical analysis essentials. Viewers will develop a better understanding of charting and technical indicators, and get an inside look at cutting edge material based on Kase's own unique indicators and innovative approaches to trading and forecasting. The video describes key techniques for interpreting market behavior and developing a technical approach to trading. The workbook provides practice exercises that reinforce the concepts learned as Kase guides viewers through the various methodologies and their real-life applications to successful market interactions. Technical analysis is based on the premise that the behavior of a market reveals all that is known about it. Price action, volatility and rates of price changes may be harnessed by Kase's techniques to forecast future prices, identify low risk, high reward trading opportunities, and to cut losses while letting profits run. Kase on Technical Analysis shows how it's done, providing clear and wide-ranging instruction and expert insight that helps viewers to: Build a foundational understanding of charting and technical indicators, including an introduction to latest techniques Learn the most important technical methods for interpreting and analyzing market behavior Effectively apply technical analysis to trading strategy, risk management and market forecasting Formulate entry and exit strategies by using pattern recognition and properly applying technical indicators Technical analysis is a core discipline used by successful traders to assess market conditions and time trades. This package covers the aspects of technical analysis needed for intelligent interaction with the markets, from theory to practice, with concrete guidance toward real-world application. For traders wanting to «come up to speed» on technical analysis, for those wanting a refresher on the topic, as well as for seasoned traders looking for new ideas, Kase on Technical Analysis provides deep insight from a global authority. 1 Chartered Market Technician awarded by the Market Technicians Association 2 Master of Financial Technical Analysis awarded by the International Federation of Technical Analysts
John Walkenbach Excel Dashboards and Reports John Walkenbach Excel Dashboards and Reports Новинка

John Walkenbach Excel Dashboards and Reports

2586.53 руб. или Купить в рассрочку!
Learn to use Excel dashboards and reports to better conceptualize data Updated for all the latest features and capabilities of Excel 2013, this go-to resource provides you with in-depth coverage of the individual functions and tools that can be used to create compelling Excel reports. Veteran author Michael Alexander walks you through the most effective ways to present and report data. Featuring a comprehensive review of a wide array of technical and analytical concepts, this essential guide helps you go from reporting data with simple tables full of dull numbers to presenting key information through the use of high-impact, meaningful reports and dashboards that will wow management both visually and substantively. Details how to analyze large amounts of data and report the results in a way that is both visually attractive and effective Describes how to use different perspectives to achieve better visibility into data, as well as how to slice data into various views on the fly Shows how to automate redundant reporting and analysis processes Walks you through creating impressive dashboards, eye-catching visualizations, and real-world What-If analyses Excel Dashboards and Reports, Second Edition is part technical manual, part analytical guidebook, and exactly what you need to become your organization's dashboard dynamo!
Haikady Nagaraja N. Measuring Agreement. Models, Methods, and Applications Haikady Nagaraja N. Measuring Agreement. Models, Methods, and Applications Новинка

Haikady Nagaraja N. Measuring Agreement. Models, Methods, and Applications

8740.59 руб. или Купить в рассрочку!
Presents statistical methodologies for analyzing common types of data from method comparison experiments and illustrates their applications through detailed case studies Measuring Agreement: Models, Methods, and Applications features statistical evaluation of agreement between two or more methods of measurement of a variable with a primary focus on continuous data. The authors view the analysis of method comparison data as a two-step procedure where an adequate model for the data is found, and then inferential techniques are applied for appropriate functions of parameters of the model. The presentation is accessible to a wide audience and provides the necessary technical details and references. In addition, the authors present chapter-length explorations of data from paired measurements designs, repeated measurements designs, and multiple methods; data with covariates; and heteroscedastic, longitudinal, and categorical data. The book also: • Strikes a balance between theory and applications • Presents parametric as well as nonparametric methodologies • Provides a concise introduction to Cohen’s kappa coefficient and other measures of agreement for binary and categorical data • Discusses sample size determination for trials on measuring agreement • Contains real-world case studies and exercises throughout • Provides a supplemental website containing the related datasets and R code Measuring Agreement: Models, Methods, and Applications is a resource for statisticians and biostatisticians engaged in data analysis, consultancy, and methodological research. It is a reference for clinical chemists, ecologists, and biomedical and other scientists who deal with development and validation of measurement methods. This book can also serve as a graduate-level text for students in statistics and biostatistics.
Upcraft M. Lee Assessment Methods for Student Affairs Upcraft M. Lee Assessment Methods for Student Affairs Новинка

Upcraft M. Lee Assessment Methods for Student Affairs

Editor John Schuh and his fellow contributors, all experts in the field, detail the methodological aspects of conducting assessment projects specifically for the student affairs practitioner who is ready to conduct assessment projects, but is not quite sure how to manage their technical aspects. Using a variety of case studies and concrete examples to illustrate various assessment approaches, the authors lead the reader step-by-step through each phase of the assessment process with jargon-free, hands-on guidance.
John Wubbel JMP Connections. The Art of Utilizing Connections In Your Data John Wubbel JMP Connections. The Art of Utilizing Connections In Your Data Новинка

John Wubbel JMP Connections. The Art of Utilizing Connections In Your Data

3230.74 руб. или Купить в рассрочку!
Achieve best-in-class metrics and get more from your data with JMP JMP Connections is the small- and medium-sized business owner's guide to exceeding customer expectations by getting more out of your data using JMP. Uniquely bifunctional, this book is divided into two parts: the first half of the book shows you what JMP can do for you. You'll discover how to wring every last drop of insight out of your data, and let JMP parse reams of raw numbers into actionable insight that leads to better strategic decisions. You'll also discover why it works so well; clear explanations break down the Connectivity platform and metrics in business terms to demystify data analysis and JMP while giving you a macro view of the benefits that come from optimal implementation. The second half of the book is for your technical team, demonstrating how to implement specific solutions relating to data set development and data virtualization. In the end, your organization reduces Full Time Equivalents while increasing productivity and competitiveness. JMP is a powerful tool for business, but many organizations aren't even scratching the surface of what their data can do for them. This book provides the information and technical guidance your business needs to achieve more. Learn what a JMP Connectivity Platform can do for your business Understand Metrics-on-Demand, Real-Time Metrics, and their implementation Delve into technical implementation with information on configuration and management, version control, data visualization, and more Make better business decisions by getting more and better information from your data Business leadership relies on good information to make good business decisions—but what if you could increase the quality of the information you receive, while getting more of what you want to know and less of what you don't need to know? How would that affect strategy, operations, customer experience, and other critical areas? JMP can help with that, and JMP Connections provides real, actionable guidance on getting more out of JMP.
Mung Chiang Smart Data Pricing Mung Chiang Smart Data Pricing Новинка

Mung Chiang Smart Data Pricing

10640.71 руб. или Купить в рассрочку!
A comprehensive text addressing the high demand for network, cloud, and content services through cutting-edge research on data pricing and business strategies Smart Data Pricing tackles the timely issue of surging demand for network, cloud, and content services and corresponding innovations in pricing these services to benefit consumers, operators, and content providers. The pricing of data traffic and other services is central to the core challenges of network monetization, growth sustainability, and bridging the digital divide. In this book, experts from both academia and industry discuss all aspects of smart data pricing research and development, including economic analyses, system development, user behavior evaluation, and business strategies. Smart Data Pricing: • Presents the analysis of leading researchers from industry and academia surrounding the pricing of network services and content. • Discusses current trends in mobile and wired data usage and their economic implications for content providers, network operators, end users, government regulators, and other players in the Internet ecosystem. • Includes new concepts and background technical knowledge that will help researchers and managers effectively monetize their networks and improve user quality-of-experience. • Provides cutting-edge research on business strategies and initiatives through a diverse collection of perspectives. • Combines academic and industry expertise from multiple disciplines and business organizations. The ideas and background of the technologies and economic principles discussed within these chapters are of real value to practitioners, researchers, and managers in identifying trends and deploying new pricing and network management technologies, and will help support managers in identifying new business directions and innovating solutions to challenging business problems.
George James A. Smart Data. Enterprise Performance Optimization Strategy George James A. Smart Data. Enterprise Performance Optimization Strategy Новинка

George James A. Smart Data. Enterprise Performance Optimization Strategy

10866.14 руб. или Купить в рассрочку!
The authors advocate attention to smart data strategy as an organizing element of enterprise performance optimization. They believe that “smart data” as a corporate priority could revolutionize government or commercial enterprise performance much like “six sigma” or “total quality” as organizing paradigms have done in the past. This revolution has not yet taken place because data historically resides in the province of the information resources organization. Solutions that render data smart are articulated in “technoid” terms versus the language of the board room. While books such as Adaptive Information by Pollock and Hodgson ably describe the current state of the art, their necessarily technical tone is not conducive to corporate or agency wide qualitative change.
Beth Jones P. Energy Management and Efficiency for the Process Industries Beth Jones P. Energy Management and Efficiency for the Process Industries Новинка

Beth Jones P. Energy Management and Efficiency for the Process Industries

Provides a unique overview of energy management for the process industries Provides an overall approach to energy management and places the technical issues that drive energy efficiency in context Combines the perspectives of freewheeling consultants and corporate insiders In two sections, the book provides the organizational framework (Section 1) within which the technical aspects of energy management, described in Section 2, can be most effectively executed Includes success stories from three very different companies that have achieved excellence in their energy management efforts Covers energy management, including the role of the energy manager, designing and implementing energy management programs, energy benchmarking, reporting, and energy management systems Technical topics cover efficiency improvement opportunities in a wide range of utility systems and process equipment types, as well as techniques to improve process design and operation
Sean Hennessy Pharmacoepidemiology Sean Hennessy Pharmacoepidemiology Новинка

Sean Hennessy Pharmacoepidemiology

27510.38 руб. или Купить в рассрочку!
Now in its fifth edition, Pharmacoepidemiology defines the discipline and provides the most comprehensive guidance of any book on the topic. Written by world renowned experts in the field, this valuable text surveys the research designs and sources of data available for pharmacoepidemiologic research, and provides descriptions of various automated data systems, along with the advantages and disadvantages of each. Incorporating perspectives from academia, industry and regulatory agencies, this book provides detailed insights into all aspects of pharmacoepidemiology.
Chris Mi Automotive Power Transmission Systems Chris Mi Automotive Power Transmission Systems Новинка

Chris Mi Automotive Power Transmission Systems

8408.32 руб. или Купить в рассрочку!
Provides technical details and developments for all automotive power transmission systems The transmission system of an automotive vehicle is the key to the dynamic performance, drivability and comfort, and fuel economy. Modern advanced transmission systems are the combination of mechanical, electrical and electronic subsystems. The development of transmission products requires the synergy of multi-disciplinary expertise in mechanical engineering, electrical engineering, and electronic and software engineering. Automotive Power Transmission Systems comprehensively covers various types of power transmission systems of ground vehicles, including conventional automobiles driven by internal combustion engines, and electric and hybrid vehicles. The book covers the technical aspects of design, analysis and control for manual transmissions, automatic transmission, CVTs, dual clutch transmissions, electric drives, and hybrid power systems. It not only presents the technical details of key transmission components, but also covers the system integration for dynamic analysis and control. Key features: Covers conventional automobiles as well as electric and hybrid vehicles. Covers aspects of design, analysis and control. Includes the most recent developments in the field of automotive power transmission systems. The book is essential reading for researchers and practitioners in automotive, mechanical and electrical engineering.
Ekins Sean Pharmaceutical Data Mining. Approaches and Applications for Drug Discovery Ekins Sean Pharmaceutical Data Mining. Approaches and Applications for Drug Discovery Новинка

Ekins Sean Pharmaceutical Data Mining. Approaches and Applications for Drug Discovery

12418.44 руб. или Купить в рассрочку!
Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challenges facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses important theoretical and practical aspects of pharmaceutical data mining, focusing on diverse approaches for drug discovery—including chemogenomics, toxicogenomics, and individual drug response prediction. The five main sections of this volume cover: A general overview of the discipline, from its foundations to contemporary industrial applications Chemoinformatics-based applications Bioinformatics-based applications Data mining methods in clinical development Data mining algorithms, technologies, and software tools, with emphasis on advanced algorithms and software that are currently used in the industry or represent promising approaches In one concentrated reference, Pharmaceutical Data Mining reveals the role and possibilities of these sophisticated techniques in contemporary drug discovery and development. It is ideal for graduate-level courses covering pharmaceutical science, computational chemistry, and bioinformatics. In addition, it provides insight to pharmaceutical scientists, principal investigators, principal scientists, research directors, and all scientists working in the field of drug discovery and development and associated industries.
Vijay Kumar Fundamentals of Pervasive Information Management Systems Vijay Kumar Fundamentals of Pervasive Information Management Systems Новинка

Vijay Kumar Fundamentals of Pervasive Information Management Systems

7672.62 руб. или Купить в рассрочку!
A comprehensive new edition on mobile computing—covering both mobile and sensor data The new paradigm of pervasive computing was born from the needs of highly mobile workers to access and transfer data while on the go. Significant advances in the technology have lent and will continue to lend prevalence to its use—especially in m-commerce. Covering both mobile data and sensor data, this comprehensive text offers updated research on sensor technology, data stream processing, mobile database security, and contextual processing. Packed with cases studies, exercises, and examples, Fundamentals of Pervasive Information Management Systems covers essential aspects of wireless communication and provides a thorough discussion about managing information on mobile database systems (MDS). It addresses the integration of web and workflow with mobile computing and looks at the current state of research. Fundamentals of Pervasive Information Management Systems presents chapters on: Mobile Database System Mobile and Wireless Communication Location and Handoff Management Fundamentals of Database Processing Introduction to Concurrency Control Mechanisms Effect of Mobility on Data Processing Transaction Management in Mobile Database Systems Mobile Database Recovery Wireless Information Dissemination Introduction to Sensor Technology Sensor Technology and Data Streams Management Sensor Network Deployment: Case Studies Fundamentals of Pervasive Information Management Systems is an ideal book for researchers, teachers, and graduate students of mobile computing. The book may also be used as a reference text for researchers or managers.
Olivier Pivert NoSQL Data Models. Trends and Challenges Olivier Pivert NoSQL Data Models. Trends and Challenges Новинка

Olivier Pivert NoSQL Data Models. Trends and Challenges

9378.51 руб. или Купить в рассрочку!
The topic of NoSQL databases has recently emerged, to face the Big Data challenge, namely the ever increasing volume of data to be handled. It is now recognized that relational databases are not appropriate in this context, implying that new database models and techniques are needed. This book presents recent research works, covering the following basic aspects: semantic data management, graph databases, and big data management in cloud environments. The chapters in this book report on research about the evolution of basic concepts such as data models, query languages, and new challenges regarding implementation issues.
Thomas Lumley Complex Surveys. A Guide to Analysis Using R Thomas Lumley Complex Surveys. A Guide to Analysis Using R Новинка

Thomas Lumley Complex Surveys. A Guide to Analysis Using R

6981.49 руб. или Купить в рассрочку!
A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields. The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presented content. Each chapter concludes with exercises that vary in level of complexity, and detailed appendices outline additional mathematical and computational descriptions to assist readers with comparing results from various software systems. Complex Surveys is an excellent book for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. It is also a practical reference guide for applied statisticians and practitioners in the social and health sciences who use statistics in their everyday work.
Geoff Varrall Making Telecoms Work. From Technical Innovation to Commercial Success Geoff Varrall Making Telecoms Work. From Technical Innovation to Commercial Success Новинка

Geoff Varrall Making Telecoms Work. From Technical Innovation to Commercial Success

2169.35 руб. или Купить в рассрочку!
Bridging the industry divide between the technical expertise of engineers and the aims of market and business planners, Making Telecoms Work provides a basis for more effective interdisciplinary analysis of technology, engineering, market and business investment risk and opportunity. Since fixed and mobile broadband has become a dominant deliverable, multiple areas of transition and transformation have occurred; the book places these changes in the context of the political, social and economic dynamics of the global telecommunications industry. Drawing on 25 years of participative experience in the mobile phone and telecommunications industry, the author closely analyses the materials, components and devices that have had a transformative impact. By presenting detailed case studies of materials innovation, such as those shown at success story Apple, the book shows how the collaboration of technological imagination with business knowledge will shape the industry’s future. Makes a link between the technical aspects and the business practice of the telecoms industry, highlighting the commercial and economic significance of new developments Gives a historical analysis of past successes and failures in order to identify future competitive advantage opportunities Supplies detailed case studies of supply chain disconnects and the impact these have on industry risk and profitability Brings together technological detail with analysis of what is and is not commercially important, from the implications of energy and environmental networks to the technical details of wireless network hardware.
Pierre Bonnet Enterprise Data Governance. Reference and Master Data Management Semantic Modeling Pierre Bonnet Enterprise Data Governance. Reference and Master Data Management Semantic Modeling Новинка

Pierre Bonnet Enterprise Data Governance. Reference and Master Data Management Semantic Modeling

7835.26 руб. или Купить в рассрочку!
In an increasingly digital economy, mastering the quality of data is an increasingly vital yet still, in most organizations, a considerable task. The necessity of better governance and reinforcement of international rules and regulatory or oversight structures (Sarbanes Oxley, Basel II, Solvency II, IAS-IFRS, etc.) imposes on enterprises the need for greater transparency and better traceability of their data. All the stakeholders in a company have a role to play and great benefit to derive from the overall goals here, but will invariably turn towards their IT department in search of the answers. However, the majority of IT systems that have been developed within businesses are overly complex, badly adapted, and in many cases obsolete; these systems have often become a source of data or process fragility for the business. It is in this context that the management of ‘reference and master data’ or Master Data Management (MDM) and semantic modeling can intervene in order to straighten out the management of data in a forward-looking and sustainable manner. This book shows how company executives and IT managers can take these new challenges, as well as the advantages of using reference and master data management, into account in answering questions such as: Which data governance functions are available? How can IT be better aligned with business regulations? What is the return on investment? How can we assess intangible IT assets and data? What are the principles of semantic modeling? What is the MDM technical architecture? In these ways they will be better able to deliver on their responsibilities to their organizations, and position them for growth and robust data management and integrity in the future.
Tien Dao Tua Biomechanics of the Musculoskeletal System. Modeling of Data Uncertainty and Knowledge Tien Dao Tua Biomechanics of the Musculoskeletal System. Modeling of Data Uncertainty and Knowledge Новинка

Tien Dao Tua Biomechanics of the Musculoskeletal System. Modeling of Data Uncertainty and Knowledge

6156.85 руб. или Купить в рассрочку!
The topic of this book is the modeling of data uncertainty and knowledge for a health engineering problem such as the biomechanics of the musculoskeletal system. This is the first book on this subject. It begins with the state of the art in related topics such as data uncertainty, knowledge modeling, and the biomechanics of the musculoskeletal system, followed by fundamental and theoretical aspects of this field. Clinically relevant applications of musculoskeletal system modeling are then introduced. The book finishes with a chapter on practical software and tools for knowledge modeling and reasoning purposes.
Chunlei Tang The Data Industry. The Business and Economics of Information and Big Data Chunlei Tang The Data Industry. The Business and Economics of Information and Big Data Новинка

Chunlei Tang The Data Industry. The Business and Economics of Information and Big Data

6076.08 руб. или Купить в рассрочку!
Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data asset. This book defines a data industry chain, enumerates data enterprises’ business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects. A discussion on the establishment and development of data industry related laws and regulations is provided. In addition, this book discusses several scenarios on how to convert data driving forces into productivity that can then serve society. This book is designed to serve as a reference and training guide for ata scientists, data-oriented managers and executives, entrepreneurs, scholars, and government employees. Defines and develops the concept of a “Data Industry,” and explains the economics of data to data scientists and statisticians Includes numerous case studies and examples from a variety of industries and disciplines Serves as a useful guide for practitioners and entrepreneurs in the business of data technology The Data Industry: The Business and Economics of Information and Big Data is a resource for practitioners in the data science industry, government, and students in economics, business, and statistics. CHUNLEI TANG, Ph.D., is a research fellow at Harvard University. She is the co-founder of Fudan’s Institute for Data Industry and proposed the concept of the “data industry”. She received a Ph.D. in Computer and Software Theory in 2012 and a Master of Software Engineering in 2006 from Fudan University, Shanghai, China.
Daniel Denis J. Applied Univariate, Bivariate, and Multivariate Statistics Daniel Denis J. Applied Univariate, Bivariate, and Multivariate Statistics Новинка

Daniel Denis J. Applied Univariate, Bivariate, and Multivariate Statistics

9881.38 руб. или Купить в рассрочку!
A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences Written as a general and accessible introduction, Applied Univariate, Bivariate, and Multivariate Statistics provides an overview of statistical modeling techniques used in fields in the social and behavioral sciences. Blending statistical theory and methodology, the book surveys both the technical and theoretical aspects of good data analysis. Featuring applied resources at various levels, the book includes statistical techniques such as t-tests and correlation as well as more advanced procedures such as MANOVA, factor analysis, and structural equation modeling. To promote a more in-depth interpretation of statistical techniques across the sciences, the book surveys some of the technical arguments underlying formulas and equations. Applied Univariate, Bivariate, and Multivariate Statistics also features Demonstrations of statistical techniques using software packages such as R and SPSS® Examples of hypothetical and real data with subsequent statistical analyses Historical and philosophical insights into many of the techniques used in modern social science A companion website that includes further instructional details, additional data sets, solutions to selected exercises, and multiple programming options An ideal textbook for courses in statistics and methodology at the upper- undergraduate and graduate-levels in psychology, political science, biology, sociology, education, economics, communications, law, and survey research, Applied Univariate, Bivariate, and Multivariate Statistics is also a useful reference for practitioners and researchers in their field of application. DANIEL J. DENIS, PhD, is Associate Professor of Quantitative Psychology at the University of Montana where he teaches courses in univariate and multivariate statistics. He has published a number of articles in peer-reviewed journals and has served as consultant to researchers and practitioners in a variety of fields.
Jan Beirlant Reinsurance. Actuarial and Statistical Aspects Jan Beirlant Reinsurance. Actuarial and Statistical Aspects Новинка

Jan Beirlant Reinsurance. Actuarial and Statistical Aspects

7981.26 руб. или Купить в рассрочку!
Reinsurance: Actuarial and Statistical Aspects provides a survey of both the academic literature in the field as well as challenges appearing in reinsurance practice and puts the two in perspective. The book is written for researchers with an interest in reinsurance problems, for graduate students with a basic knowledge of probability and statistics as well as for reinsurance practitioners. The focus of the book is on modelling together with the statistical challenges that go along with it. The discussed statistical approaches are illustrated alongside six case studies of insurance loss data sets, ranging from MTPL over fire to storm and flood loss data. Some of the presented material also contains new results that have not yet been published in the research literature. An extensive bibliography provides readers with links for further study.
Philip Bartlett N. Bioelectrochemistry. Fundamentals, Experimental Techniques and Applications Philip Bartlett N. Bioelectrochemistry. Fundamentals, Experimental Techniques and Applications Новинка

Philip Bartlett N. Bioelectrochemistry. Fundamentals, Experimental Techniques and Applications

27289.53 руб. или Купить в рассрочку!
Bioelectrochemistry: Fundamentals, Experimental Techniques and Application, covers the fundamental aspects of the chemistry, physics and biology which underlie this subject area. It describes some of the different experimental techniques that can be used to study bioelectrochemical problems and it describes various applications of biolelectrochemisty including amperometric biosensors, immunoassays, electrochemistry of DNA, biofuel cells, whole cell biosensors, in vivo applications and bioelectrosynthesis. By bringing together these different aspects, this work provides a unique source of information in this area, approaching the subject from a cross-disciplinary viewpoint.
Francine Krief Communicating Embedded Systems. Networks Applications Francine Krief Communicating Embedded Systems. Networks Applications Новинка

Francine Krief Communicating Embedded Systems. Networks Applications

11780.79 руб. или Купить в рассрочку!
Embedded systems become more and more complex and require having some knowledge in various disciplines such as electronics, data processing, telecommunications and networks. Without detailing all the aspects related to the design of embedded systems, this book, which was written by specialists in electronics, data processing and telecommunications and networks, gives an interesting point of view of communication techniques and problems in embedded systems. This choice is easily justified by the fact that embedded systems are today massively communicating and that telecommunications and networks constitute the main sector of embedded systems.
Bavier Michael Practical Golf Course Maintenance. The Magic of Greenkeeping Bavier Michael Practical Golf Course Maintenance. The Magic of Greenkeeping Новинка

Bavier Michael Practical Golf Course Maintenance. The Magic of Greenkeeping

The revised, bestselling resource of practical, nontechnical advice for maintaining and operating a golf course Practical Golf Course Maintenance, Third Edition presents the latest information and techniques for providing first-rate upkeep and management operations for any golf course. This book's, clear, step-by-step coverage, unencumbered by technical language, includes critical advice on maintaining consistent bunkers, sand top-dressing and aerifying, pesticide storage, and other emerging technologies, as well as mowing techniques for greens, fairways, and tees—and much more! This updated Third Edition offers reliable, state-of-the-art guidance and hundreds of helpful tips with: Major revisions throughout to address the latest information on computer- operated irrigation systems, new equipment for all aspects of course maintenance, water quality and conservation issues, and managing people A clear approach that avoids technical language and scientific citations while delivering practical advice that can be immediately applied on the course Coverage of all aspects of course maintenance from tee to green, along with guidance on managing the course for the rules of the game and managing the business aspects of course management and maintenance Practical Golf Course Maintenance, Third Edition is a valuable tool for golf course owners, architects, builders, golfers, golf professionals, club managers, and superintendents, as well as greens committee members, irrigation specialists, field managers, turfgrass specialists, real estate developers, and landscape architects.
Francine Krief Communicating Embedded Systems. Networks Applications Francine Krief Communicating Embedded Systems. Networks Applications Новинка

Francine Krief Communicating Embedded Systems. Networks Applications

12030.37 руб. или Купить в рассрочку!
Embedded systems become more and more complex and require having some knowledge in various disciplines such as electronics, data processing, telecommunications and networks. Without detailing all the aspects related to the design of embedded systems, this book, which was written by specialists in electronics, data processing and telecommunications and networks, gives an interesting point of view of communication techniques and problems in embedded systems. This choice is easily justified by the fact that embedded systems are today massively communicating and that telecommunications and networks constitute the main sector of embedded systems.
Steve Pate D. UNIX Filesystems. Evolution, Design, and Implementation Steve Pate D. UNIX Filesystems. Evolution, Design, and Implementation Новинка

Steve Pate D. UNIX Filesystems. Evolution, Design, and Implementation

3880.76 руб. или Купить в рассрочку!
Covers all versions of UNIX, as well as Linux, operating systems that are used by the majority of Fortune 1000 companies for their mission-critical data Offers more detail than other books on the file input/output aspects of UNIX programming Describes implementation of UNIX filesystems over a thirty year period Demonstrates VERITAS and other filesystem examples
Jasmina Hasanhodzic The Heretics of Finance. Conversations with Leading Practitioners of Technical Analysis Jasmina Hasanhodzic The Heretics of Finance. Conversations with Leading Practitioners of Technical Analysis Новинка

Jasmina Hasanhodzic The Heretics of Finance. Conversations with Leading Practitioners of Technical Analysis

2324.58 руб. или Купить в рассрочку!
The Heretics of Finance provides extraordinary insight into both the art of technical analysis and the character of the successful trader. Distinguished MIT professor Andrew W. Lo and researcher Jasmina Hasahodzic interviewed thirteen highly successful, award-winning market professionals who credit their substantial achievements to technical analysis. The result is the story of technical analysis in the words of the people who know it best; the lively and candid interviews with these gurus of technical analysis. The first half of the book focuses on the technicians' careers: How and why they learned technical analysis What market conditions increase their chances of making mistakes What their average workday is like To what extent trading controls their lives Whether they work on their own or with a team How their style of technical analysis is unique The second half concentrates on technical analysis and addresses questions such as these: Did the lack of validation by academics ever cause you to doubt technical analysis? Can technical analysis be applied to other disciplines? How do you prove the validity of the method? How has computer software influenced the craft? What is the role of luck in technical analysis? Are there laws that underlie market action? What traits characterize a highly successful trader? How do you test patterns before you start using them with real money? Interviewees include: Ralph J. Acampora, Laszlo Birinyi, Walter Deemer, Paul Desmond, Gail Dudack, Robert J. Farrell, Ian McAvity, John Murphy, Robert Prechter, Linda Raschke, Alan R. Shaw, Anthony Tabell, Stan Weinstein.
Laszlo Birinyi The Master Trader. Birinyi's Secrets to Understanding the Market Laszlo Birinyi The Master Trader. Birinyi's Secrets to Understanding the Market Новинка

Laszlo Birinyi The Master Trader. Birinyi's Secrets to Understanding the Market

3880.76 руб. или Купить в рассрочку!
Alongside Laszlo Birinyi's stories from his more than forty years of trading experience, the book provides guidance on critical trading and investment issues, including: What the market will likely do if Spyders are up one percent in pre-trading Whether to buy or sell when a stock reports better that expected earnings and trade up to $5 to $50 The details behind group rotation and market cycles The seasonal factors in investing Indicators, explained: which are indicative and which are descriptive The importance of sentiment and how to track it The book will include chapters and details on technical analysis, the failure of technical analysis efforts, the business of wall street, trading indicators, anecdotal data, and price gaps. The Website associated with the book will also feature data sourcing and video.
Verma Dinesh C. Techniques for Surviving Mobile Data Explosion Verma Dinesh C. Techniques for Surviving Mobile Data Explosion Новинка

Verma Dinesh C. Techniques for Surviving Mobile Data Explosion

6671.03 руб. или Купить в рассрочку!
Discusses the challenges of bandwidth scarcity due to mobile data explosion and their solutions The rapidly growing popularity of Smartphones and other mobile devices has resulted in an exponential growth of mobile data. There is insufficient radio spectrum to cope with this growing data demand, and upgrading existing networks to meet the demands of mobile data explosion is expensive. Techniques for Surviving the Mobile Data Explosion is about the different approaches that can be used to address the challenges of limited bandwidth. It examines these challenges from the perspective of the mobile network operators, mobile applications developers, and enterprises that deploy mobile applications for their employees. The book provides: Comprehensive yet easy-to-understand information that is free of technical jargon, complex mathematical notation, and multiple acronyms Easy-to-understand figures as well as a comprehensive set of references A cross-disciplinary approach spanning the areas of cellular networks, IP networks, and mobile applications Techniques for Surviving the Mobile Data Explosion is ideal for wireless application developers and mobile network operators.
Barbara Rockefeller Technical Analysis For Dummies Barbara Rockefeller Technical Analysis For Dummies Новинка

Barbara Rockefeller Technical Analysis For Dummies

A simple, straightforward guide to the fundamentals of technical analysis Technical analysis is a collection of techniques designed to help you make trading decisions in securities markets. Technical Analysis For Dummies helps you take a hard-headed look at what securities prices are actually doing rather than what economists or analysts say they should be doing, giving you the know-how to use that data to decide whether to buy or sell individual securities. Since the publication of the first edition, readers have been faced with many changes, such as new interest rates, looming bank crises, and adjusting market climates. This new edition provides an updated look at unique formulas and key indicators, as well as refreshed and practical examples that reflect today today's financial atmosphere. Determine how markets are performing and make decisions using real data Spot investment trends and turning points Improve your profits and your portfolio performance With straightforward coverage of concepts and execution, Technical Analysis For Dummies shows you how to make better trading decisions in no time.
Samira ElAtia Data Mining and Learning Analytics. Applications in Educational Research Samira ElAtia Data Mining and Learning Analytics. Applications in Educational Research Новинка

Samira ElAtia Data Mining and Learning Analytics. Applications in Educational Research

9881.38 руб. или Купить в рассрочку!
Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research—from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. Includes case studies where data mining techniques have been effectively applied to advance teaching and learning Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research.
Daniel Larose T. Discovering Knowledge in Data. An Introduction to Data Mining Daniel Larose T. Discovering Knowledge in Data. An Introduction to Data Mining Новинка

Daniel Larose T. Discovering Knowledge in Data. An Introduction to Data Mining

7214.34 руб. или Купить в рассрочку!
The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before. This book provides the tools needed to thrive in today’s big data world. The author demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”. By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining. The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis. Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization Offers extensive coverage of the R statistical programming language Contains 280 end-of-chapter exercises Includes a companion website for university instructors who adopt the book
Field Cady The Data Science Handbook Field Cady The Data Science Handbook Новинка

Field Cady The Data Science Handbook

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features: • Extensive sample code and tutorials using Python™ along with its technical libraries • Core technologies of “Big Data,” including their strengths and limitations and how they can be used to solve real-world problems • Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity • A wide variety of case studies from industry • Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set. FIELD CADY is the data scientist at the Allen Institute for Artificial Intelligence, where he develops tools that use machine learning to mine scientific literature. He has also worked at Google and several Big Data startups. He has a BS in physics and math from Stanford University, and an MS in computer science from Carnegie Mellon.
Pentaho 3.2 Data Integration: Beginner's Guide Pentaho 3.2 Data Integration: Beginner's Guide Новинка

Pentaho 3.2 Data Integration: Beginner's Guide

As part of Packt's Beginner's Guide, this book focuses on teaching by example. The book walks you through every aspect of PDI, giving step-by-step instructions in a friendly style, allowing you to learn in front of your computer, playing with the tool. The extensive use of drawings and screenshots make the process of learning PDI easy. Throughout the book numerous tips and helpful hints are provided that you will not find anywhere else. The book provides short, practical examples and also builds from scratch a small datamart intended to reinforce the learned concepts and to teach you the basics of data warehousing. This book is for software developers, database administrators, IT students, and everyone involved or interested in developing ETL solutions, or, more generally, doing any kind of data manipulation. If you have never used PDI before, this will be a perfect book to start with. You will find this book is a good starting point if you are a database administrator, data warehouse designer, architect, or any person who is responsible for data warehouse projects and need to load data into them. You don't need to have any prior data warehouse or database experience to read this book. Fundamental database and data warehouse technical terms and concepts are explained in easy-to-understand language.
Serge Biollaz M.A. Synthetic Natural Gas. From Coal, Dry Biomass, and Power-to-Gas Applications Serge Biollaz M.A. Synthetic Natural Gas. From Coal, Dry Biomass, and Power-to-Gas Applications Новинка

Serge Biollaz M.A. Synthetic Natural Gas. From Coal, Dry Biomass, and Power-to-Gas Applications

11397.16 руб. или Купить в рассрочку!
Provides an overview of the different pathways to produce Synthetic Natural Gas Covers technological, and economic aspects of this Synthetic Natural Gas Details the most popular technologies and state-of-the-art of SNG technologies while also covering recent and future research trends Covers the main process steps during conversion of coal and dry biomass to SNG: gasification, gas cleaning, methanation and gas upgrading Describes a number of novel processes for the production of SNG with their specific combination of process steps as well as the boundary conditions Covers important technical aspects of Power-to-Gas processes
Rainer Wesche Physical Properties of High-Temperature Superconductors Rainer Wesche Physical Properties of High-Temperature Superconductors Новинка

Rainer Wesche Physical Properties of High-Temperature Superconductors

12460.8 руб. или Купить в рассрочку!
A much-needed update on complex high-temperature superconductors, focusing on materials aspects; this timely book coincides with a recent major break-through of the discovery of iron-based superconductors. It provides an overview of materials aspects of high-temperature superconductors, combining introductory aspects, description of new physics, material aspects, and a description of the material properties This title is suitable for researchers in materials science, physics and engineering. Also for technicians interested in the applications of superconductors, e.g. as biomagnets
Tony Boobier Analytics for Insurance. The Real Business of Big Data Tony Boobier Analytics for Insurance. The Real Business of Big Data Новинка

Tony Boobier Analytics for Insurance. The Real Business of Big Data

6467.94 руб. или Купить в рассрочку!
The business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. Written from a non-IT perspective, this book focusses less on the architecture and technical details, instead providing practical guidance on translating analytics into target delivery. The discussion examines implementation, interpretation, and application to show you what Big Data can do for your business, with insights and examples targeted specifically to the insurance industry. From fraud analytics in claims management, to customer analytics, to risk analytics in Solvency 2, comprehensive coverage presented in accessible language makes this guide an invaluable resource for any insurance professional. The insurance industry is heavily dependent on data, and the advent of Big Data and analytics represents a major advance with tremendous potential – yet clear, practical advice on the business side of analytics is lacking. This book fills the void with concrete information on using Big Data in the context of day-to-day insurance operations and strategy. Understand what Big Data is and what it can do Delve into Big Data's specific impact on the insurance industry Learn how advanced analytics can revolutionise the industry Bring Big Data out of IT and into strategy, management, marketing, and more Big Data and analytics is changing business – but how? The majority of Big Data guides discuss data collection, database administration, advanced analytics, and the power of Big Data – but what do you actually do with it? Big Data and Analytics for Insurers answers your questions in real, everyday business terms, tailored specifically to the insurance industry's unique needs, challenges, and targets.
Fumy Walter Handbook of eID Security. Concepts, Practical Experiences, Technologies Fumy Walter Handbook of eID Security. Concepts, Practical Experiences, Technologies Новинка

Fumy Walter Handbook of eID Security. Concepts, Practical Experiences, Technologies

5429.19 руб. или Купить в рассрочку!
In the forthcoming years, citizens of many countries will be provided with electronic identity cards. eID solutions may not only be used for passports, but also for communication with government authorities or local administrations, as well as for secure personal identification and access control in e-business. Further eID applications will be implemented in the healthcare sector. For some of these solutions we will not need a physical data carrier at all. The Handbook of eID Security is the first source presenting a comprehensive overview of this strongly discussed topic. It provides profound information on the following questions: – Which are the latest concepts, technical approaches, applications and trends in the field of eID? – Which areas of application are covered by the different eID concepts? – Which security mechanisms are used, for what reasons, and how can their reliability be ensured? – How will the security of personal data be guaranteed? This book is a perfect source of information for all persons working in industry, banking, healthcare, research institutes, administrations and public authorities: – who are involved in the development of eID application concepts, technical solutions, and of devices used for transfer and read out data to and from eIDs, – who have or will have to do with eID applications in their daily work, and – who participate in informing and discussing about the security and transparency of eID solutions.
Jim Sterne Artificial Intelligence for Marketing. Practical Applications Jim Sterne Artificial Intelligence for Marketing. Practical Applications Новинка

Jim Sterne Artificial Intelligence for Marketing. Practical Applications

3230.74 руб. или Купить в рассрочку!
A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the «need-to-know» aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve.
Malcolm Atkinson The Data Bonanza. Improving Knowledge Discovery in Science, Engineering, and Business Malcolm Atkinson The Data Bonanza. Improving Knowledge Discovery in Science, Engineering, and Business Новинка

Malcolm Atkinson The Data Bonanza. Improving Knowledge Discovery in Science, Engineering, and Business

8664.87 руб. или Купить в рассрочку!
Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them. This book frames for the first time a new systematic approach for tackling the challenges of data-intensive computing, providing decision makers and technical experts alike with practical tools for dealing with our exploding data collections. Emphasizing data-intensive thinking and interdisciplinary collaboration, The Data Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business examines the essential components of knowledge discovery, surveys many of the current research efforts worldwide, and points to new areas for innovation. Complete with a wealth of examples and DISPEL-based methods demonstrating how to gain more from data in real-world systems, the book: Outlines the concepts and rationale for implementing data-intensive computing in organizations Covers from the ground up problem-solving strategies for data analysis in a data-rich world Introduces techniques for data-intensive engineering using the Data-Intensive Systems Process Engineering Language DISPEL Features in-depth case studies in customer relations, environmental hazards, seismology, and more Showcases successful applications in areas ranging from astronomy and the humanities to transport engineering Includes sample program snippets throughout the text as well as additional materials on a companion website The Data Bonanza is a must-have guide for information strategists, data analysts, and engineers in business, research, and government, and for anyone wishing to be on the cutting edge of data mining, machine learning, databases, distributed systems, or large-scale computing.
Michael Alexander Excel Dashboards and Reports For Dummies Michael Alexander Excel Dashboards and Reports For Dummies Новинка

Michael Alexander Excel Dashboards and Reports For Dummies

1939.74 руб. или Купить в рассрочку!
Create dynamic dashboards and put your data on display with For Dummies No matter what business you’re in, reports have become a staple of the workplace, but what good is a report if no reads it, or even worse, understands it? This all new edition of Excel Dashboards & Reports For Dummies is here to help you make meaning of all your data and turn it into clear and actionable visualizations. Fully updated for the latest business intelligence and spreadsheet tools in Excel 2013, this book shows you how to analyze large amounts of data, quickly slice data into various views on the fly, automate redundant reporting, create eye-catching visualizations, and more. Helps you move beyond reporting data with simple tables, rows, and columns to designing high-impact reports, dashboards, and visuals Walks you through a wide array of technical and analytical concepts to give you the background you need to select the right tool for interpreting and displaying data Covers how to build a chart, work with pivot tables, group and bucket your data, represent trends, create What-If analyses, and increase the value of your reports Excel Dashboards & Reports For Dummies, 2nd Edition is the business analysis tool you need to transform your raw data into a powerful and effective presentation that is accessible to everyone.

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A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features: • Extensive sample code and tutorials using Python™ along with its technical libraries • Core technologies of “Big Data,” including their strengths and limitations and how they can be used to solve real-world problems • Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity • A wide variety of case studies from industry • Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set. FIELD CADY is the data scientist at the Allen Institute for Artificial Intelligence, where he develops tools that use machine learning to mine scientific literature. He has also worked at Google and several Big Data startups. He has a BS in physics and math from Stanford University, and an MS in computer science from Carnegie Mellon.
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