Coding the Matrix

Linear Algebra Through Applications to Computer Science

Author: Philip N. Klein

Publisher: Lightning Source Incorporated

ISBN: 9780615880990

Category: Mathematics

Page: 548

View: 5241

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An engaging introduction to vectors and matrices and the algorithms that operate on them, intended for the student who knows how to program. Mathematical concepts and computational problems are motivated by applications in computer science. The reader learns by doing, writing programs to implement the mathematical concepts and using them to carry out tasks and explore the applications. Examples include: error-correcting codes, transformations in graphics, face detection, encryption and secret-sharing, integer factoring, removing perspective from an image, PageRank (Google's ranking algorithm), and cancer detection from cell features. A companion web site, codingthematrix.com provides data and support code. Most of the assignments can be auto-graded online. Over two hundred illustrations, including a selection of relevant xkcd comics. Chapters: The Function, The Field, The Vector, The Vector Space, The Matrix, The Basis, Dimension, Gaussian Elimination, The Inner Product, Special Bases, The Singular Value Decomposition, The Eigenvector, The Linear Program
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Modeling Techniques in Predictive Analytics with Python and R

A Guide to Data Science

Author: Thomas W. Miller

Publisher: FT Press

ISBN: 013389214X

Category: Computers

Page: 448

View: 6684

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Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more
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Handbook of Research on Democratic Strategies and Citizen-Centered E-Government Services

Author: Doli?anin, ?emal

Publisher: IGI Global

ISBN: 1466672676

Category: Law

Page: 455

View: 9018

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Over the past few years, e-government has been rapidly changing the way governmental services are provided to citizens and businesses. These services improve business and government exchange capability, provide a new way to discover and share information, and play a part in the evolution of future technologies. The Handbook of Research on Democratic Strategies and Citizen-Centered E-Government Services seeks to address which services in e-government should be provided to users and how. This premier reference work gives an overview of the latest achievements in the field of e-government services, provides in-depth analysis of and research on the development and deployment of cutting-edge applications, and provides insight into future trends for researchers, teachers, students, government workers, and IT professionals.
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Cybersecurity Analytics

Author: Rakesh M. Verma,David J. Marchette

Publisher: CRC Press

ISBN: 1000727653

Category: Mathematics

Page: 340

View: 9088

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Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations. Trying to build a malware detector, a phishing email detector, or just interested in finding patterns in your datasets? This book can let you do it on your own. Numerous examples and datasets links are included so that the reader can "learn by doing." Anyone with a basic college-level calculus course and some probability knowledge can easily understand most of the material. The book includes chapters containing: unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also includes background on security, statistics, and linear algebra. The website for the book contains a listing of datasets, updates, and other resources for serious practitioners.
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Fluid Engine Development

Author: Doyub Kim

Publisher: CRC Press

ISBN: 1498719953

Category: Computers

Page: 320

View: 7171

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From the splash of breaking waves to turbulent swirling smoke, the mathematical dynamics of fluids are varied and continue to be one of the most challenging aspects in animation. Fluid Engine Development demonstrates how to create a working fluid engine through the use of particles and grids, and even a combination of the two. Core algorithms are explained from a developer’s perspective in a practical, approachable way that will not overwhelm readers. The Code Repository offers further opportunity for growth and discussion with continuously changing content and source codes. This book helps to serve as the ultimate guide to navigating complex fluid animation and development.
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Encyclopedia of Computer Science

Author: Edwin D. Reilly,Anthony Ralston,David Hemmendinger

Publisher: N.A

ISBN: 9780333778791

Category: Computer science

Page: 2034

View: 7578

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The Encyclopedia of Computer Science is the definitive reference for anyone who works with computers, computing, and computer science. This new edition has 2,000 pages containing over 623 fully updated articles by internationally known computing experts. Students, professionals, and lay readers quickly find all the information they need in one, easy-to-use volume for clear, concise explanations of the latest technology and its applications - including past, present, and predicted future trends in computer science. Arranged alphabetically, the 623 articles are classified into sections covering the main themes of computing: hardware, software, computer graphics, information and data, mathematics of computing, methodologies, applications and computing milieu. The encyclopedia also includes extensive appendices, and name and subject indexes.
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