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Combinatorics by Russell Merris
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Introduction to the Human Body: The Essentials of Anatomy and Physiology
Gerard J. Tortora - 1998
Now in its much-anticipated seventh edition, this book presents the latest information in the field combined with an effective blend of stunning art and clearly written concepts. It approaches the study of the human body system by system, beginning with a look at the integumentary system. Readers will also benefit from the popular features that are integrated throughout the pages, such as Focus on Wellness Essays, Common Disorders, Focus on Homeostasis, and Clinical Applications. These are powerful learning tools that help make important concepts easier to understand.
Beginning HTML, XHTML, CSS, and JavaScript
Jon Duckett - 2009
While learning these technologies, you will discover coding practices such as writing code that works on multiple browsers including mobile devices, how to use AJAX frameworks to add interactivity to your pages, and how to ensure your pages meet accessible requirements.Packed with real-world examples, the book not only teaches you how to write Web sites using XHTML, CSS and JavaScript, but it also teaches you design principles that help you create attractive web sites and practical advice on how to make web pages more usable. In addition, special checklists and appendices review key topics and provide helpful references that re-enforce the basics you've learned.Serves as an ideal beginners guide to writing web pages using XHTML Explains how to use CSS to make pages more appealing and add interactivity to pages using JavaScript and AJAX frameworks Share advice on design principles and how to make pages more attractive and offers practical help with usability and accessibility Features checklists and appendices that review key topics This introductory guide is essential reading for getting started with using XHTML, CSS and JavaScript to create exciting and compelling Web sites.Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Learning PHP and MySQL
Michele E. Davis - 2006
When working hand-in-hand, they serve as the standard for the rapid development of dynamic, database-driven websites. This combination is so popular, in fact, that it's attracting manyprogramming newbies who come from a web or graphic design background and whose first language is HTML. If you fall into this ever-expanding category, then this book is for you."Learning PHP and MySQL" starts with the very basics of the PHP language, including strings and arrays, pattern matching and a detailed discussion of the variances in different PHP versions. Next, it explains how to work with MySQL, covering information on SQL data access for language and data fundamentals like tables and statements.Finally, after it's sure that you've mastered these separate concepts, the book shows you how to put them together to generate dynamic content. In the process, you'll also learn about error handling, security, HTTP authentication, and more.If you're a hobbyist who is intimidated by thick, complex computer books, then this guide definitely belongs on your shelf. "Learning PHP and MySQL" explains everything--from basic concepts to the nuts and bolts of performing specific tasks--in plain English.Part of O'Reilly's bestselling Learning series, the book is an easy-to-use resource designed specifically for newcomers. It's also a launching pad for future learning, providing you with a solid foundation for more advanced development.
Matrix Computations
Gene H. Golub - 1983
It includes rewritten and clarified proofs and derivations, as well as new topics such as Arnoldi iteration, and domain decomposition methods.
Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS
John K. Kruschke - 2010
Included are step-by-step instructions on how to carry out Bayesian data analyses.Download Link : readbux.com/download?i=0124058884 0124058884 Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan PDF by John Kruschke
Reinforcement Learning: An Introduction
Richard S. Sutton - 1998
Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.
Computer Organization and Architecture: Designing for Performance
William Stallings - 1987
For courses in computer organization and architecture, this text provides a clear, comprehensive presentation of the organization and architecture of contemporary computers.
Narcissa Whitman - Diaries and Letters 1836
Narcissa Whitman - 2011
Introduction to Information Retrieval
Christopher D. Manning - 2008
Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike.
Machine Learning for Hackers
Drew Conway - 2012
Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. "Machine Learning for Hackers" is ideal for programmers from any background, including business, government, and academic research.Develop a naive Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a "whom to follow" recommendation system from Twitter data
Probability and Statistics
Morris H. DeGroot - 1975
Other new features include a chapter on simulation, a section on Gibbs sampling, what you should know boxes at the end of each chapter, and remarks to highlight difficult concepts.
Faiths & Avatars (Advanced Dungeons & Dragons: Forgotten Realms, Campaign Expansion/9516)
Julia Martin - 1996
Detailed in this 192-page core supplement are the most prominent religions and deities of the Realms. Each divine power is covered in depth by an entry that includes information about the deity's appearance, personality, worshipers, portfolio, aliases, domain name, superior, allies, foes, symbol, worshipers' alignments, avatar, manifestations, church and specialty priests. The information on each religion includes its core dogma, day-to-day activities of priests, holy days and important ceremonies, major centers of worship, affiliated orders, and the priestly vestments and adventuring garb of members of the clergy. Finally, each entry contains spells specific to each of the religions - some new, some long unavailable or hard to find and some updated to conform with the current AD&D game rules. Faiths & Avatars includes: • All the greater, intermediate and lesser deities of the Faerûnian pantheon • The honored dead, including Bane, Bhaal, Moander, Myrkul and Leira, among others • Expanded and clarified specialty priest classes and specific spells for all religions with priesthoods • Color illustrations of priests from every faith in ceremonial dress • Four additional general priest classes now official to the Forgotten Realms campaign setting: crusaders, monks, mystics and shamans.
Stronghold Builder's Guidebook
Matt Forbeck - 2002
This book is stocked with everything needed to design any fortified structure imaginable, including: Over 150 new magic items . More than two dozen magical augmentations for stronghold walls. Rules for magic portals, mobile strongholds, and trap creation. Five complete strongholds, including maps, ready for immediate use. Players and Dungeon Masters who want to create customized strongholds will find all the construction materials they need within these pages. To use this accessory, a player or Dungeon Master also needs the "Player's Handbook."
Bayesian Reasoning and Machine Learning
David Barber - 2012
They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.
Options, Futures and Other Derivatives
John C. Hull
Changes in the fifth edition include: A new chapter on credit derivatives (Chapter 21). New! Business Snapshots highlight real-world situations and relevant issues. The first six chapters have been -reorganized to better meet the needs of students and .instructors. A new release of the Excel-based software, DerivaGem, is included with each text. A useful Solutions Manual/Study Guide, which includes the worked-out answers to the "Questions and Problems" sections of each chapter, can be purchased separately (ISBN: 0-13-144570-7).