Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. "Introduction to Machine Learning" is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. It discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The book can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the field who are concerned with the application of machine learning methods.After an introduction that defines machine learning and gives examples of machine learning applications, the book covers supervised learning, Bayesian decision theory, parametric methods, multivariate methods, dimensionality reduction, clustering, nonparametric methods, decision trees, linear discrimination, multilayer perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, combining multiple learners, and reinforcement learning.

    The book s two-part coverage organizes topics under basic theory, and assembles an arsenal of approximation schemes with illustrative applications. For physicists and engineers. "

    Immerse yourself in the excitement of the greatest space fantasy of all time!This new edition of the Star Wars Roleplaying Game encapsulates all six feature films while presenting a thorough revision of the rule, making the game easier to learn while improving the overall game experience.This new edition includes new character abilities and options, a world gazetteer, statistics for key characters from all six Star Wars films and the Expanded Universe, and guidelines on how to use Star Wars miniatures and battle maps in play.

    Lehninger Principles of Biochemistry, Fourth Edition brings clarity and coherence to an often unwieldy discipline, while incorporating the field's most important recent developments and applications.

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    Over 450 photographs, drawings, and diagrams reveal in exquisite detail the hows, whys, and how-to's of the traditional craft of guitarmaking, all accompanied by fascinating historical and technical notes. A comprehensive bibliography; a list of tools, materials, and supply sources; and a full index complete this uniquely authoritative reference -- and essential acquisition -- for guitar and craft enthusiasts, woodworkers, and students of instrument making everywhere.

    You will learn the ancient art of the Shaolin monks from the famous Shaolin monastery. It will prove invaluable to everyone interested in martial arts, chi kung, and meditation, showing how Kung Fu and other Shaolin arts can bring you health, vitality, mental focus, and spiritual joy.Chapters include:What is Kung Fu?—Four Aspects of Kung Fu; The Importance of Force Training; Application for Combat and Daily Living; Kung Fu Philosophy for Deeper Understanding; The Benefits of Kung FuThe Historical Development of Chinese Martial Arts—Kung Fu in Prehistoric and Ancient Times; The Glorious Han and Tang; The Modern PeriodFrom Shaolin to Taijiquan—Shaolin Kung Fu; The Various Styles of Taijiquan; Soft and Hard, Internal and ExternalA Comparative Study of Kung Fu—Contrasting Shaolin and Wudang Kung Fu; Xingyi Kung Fu and Taoist Concepts; Tanglangquan or Praying Mantis Kung Fu; The Spread of Southern Kung FuDefining Aims and Objectives—Setting Aims for Kung Fu Training; Personal Objectives; Course ObjectivesThe Foundation of Shaolin Kung Fu—Inheritance from Past Masters; Various Shaolin Hand Forms; Basic Shaolin PatternsFrom Form to Combat Application—The Four Directions of Attack; The Principles of Effective Combat; Specific Techniques Against KicksCombat Sequences and Set Practice—Relieving Injuries Sustained in Sparring; Composing Your Own Kung Fu SetsShaolin Five Animals—Understanding Characteristics and Essence; The Five-Animal Set; The Names of the Five-Animal PatternsFive-Animal Combination Set—How to Improve Combat Efficiency; Spacing and Timing in CombatThe Internal Force of Shaolin Kung Fu—The Relationship Between Technique and Force; The Compassionate Art of Qin-Na; The Internal Force of Tiger ClawTactics and Strategies—Using Continuous Attack Effectively; A Tactic to Distract Your Opponent; Selecting Strategies to Suit Particular SituationsClassical Kung Fu Weapons—Staffs; Whips, Knives and Other Weapons; Light and Heavy WeaponsUnderstanding and Developing Chi—The Various Genres of Chi Kung; Lohan Embracing Buddha; Abdominal BreathingShaolin Kung Fu and Zen—Culitvating Heart, Nourishing Nature; Bodhidharma and Taoism in ZenThe Shaolin Way to Enlightenment—Attaining a Focused Mind; Meditation to Train Awareness; Shaolin Kung Fu for Spiritual Development

    Targeted at the novice market, this self-instruction guide to electronics and electricity has been fully updated to include the latest emerging technologies, including wireless communications, computers and the Internet.

    The problems are challenging, well-motivated, and accessible. They are representative of the questions asked at interviews at the most exciting companies.The book begins with a summary of patterns for data structure, algorithms, and problem solving that will help you solve the most challenging interview problems. This is followed by chapters on basic and advanced data structures, algorithm design, concurrency, system design, probability and discrete mathematics. Each chapter starts with a brief review of key concepts and results followed by a deep and wide set of questions.EPI concludes with a summary of the nontechnical aspects of interviewing, including common mistakes, strategies for a great interview, perspectives from across the table, negotiating the best offer, and much more."This book is the best compilation of programming related problems I have seen. It is a great resource for a diverse set of topics when preparing for technical interviews, as a quick refresher in a subject area or when you are just looking for a brain teaser to challenge yourself." Shashank Gupta / Scaligent, formerly Engineering Manager, Amazon.com, Senior Engineering Manager, Yahoo!, Manager of Software Development, Cisco Systems

    In fact, many artists are discouraged by the time and expense it takes to mix and match colors, and achieve the right results. Even more frustrating is the vast range of colors available. Now there’s a ready-to-use visual directory that takes all the guesswork out of mixing and matching colors . . . making every artist an expert! Color Mixing Bible provides a basic color palette for each art medium, demonstrating an array of two-, three-, and four-color mixes, as well as offering full explanations of various paints and pigments.This invaluable guide features scores of tips and techniques for color mixing with oils, acrylics, watercolors, inks, pastels, and virtually every other art medium. It also includes in-depth information on how to determine the opacity and strength of a color, choose a color palette, mix whites, arrange and organize colors prior to mixing, use optical and physical mixing techniques, and much more! Plus, hundreds of color illustrations make everything simple. Whether one is an aspiring artist or working professional, Color Mixing Bible is an essential addition to every bookshelf.

    The book begins by introducing the R language, including the development environment. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of R.About the TechnologyR is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data.About the BookR in Action is a language tutorial focused on practical problems. It presents useful statistics examples and includes elegant methods for handling messy, incomplete, and non-normal data that are difficult to analyze using traditional methods. And statistical analysis is only part of the story. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's InsidePractical data analysis, step by stepInterfacing R with other softwareUsing R to visualize dataOver 130 graphsEight reference appendixes================================Table of ContentsPart I Getting startedIntroduction to RCreating a datasetGetting started with graphsBasic data managementAdvanced data managementPart II Basic methodsBasic graphsBasic statisticsPart III Intermediate methodsRegressionAnalysis of variancePower analysisIntermediate graphsRe-sampling statistics and bootstrappingPart IV Advanced methodsGeneralized linear modelsPrincipal components and factor analysisAdvanced methods for missing dataAdvanced graphics

    Uniquely organized around concepts and use cases, this updated fifth edition features a reorganized section on concurrency, threading, and parallel programming—including in-depth coverage of C# 5.0’s new asynchronous functions.Shaped by more than 20 expert reviewers, including Microsoft’s Eric Lippert, Stephen Toub, Chris Burrows, and Jon Skeet, this book has all you need to stay on track with C# 5.0. It’s widely known as the definitive reference on the language.Get up to speed on C# language basics, including syntax, types, and variablesExplore advanced topics such as unsafe code and type varianceDig deep into LINQ via three chapters dedicated to the topicLearn about code contracts, dynamic programming, and parallel programmingWork with .NET features, including reflection, assemblies, memory management, security, I/O, XML, collections, networking, and native interoperability"C# 5.0 in a Nutshell is one of the few books I keep on my desk as a quick reference." —Scott Guthrie, Microsoft"Whether you’re a novice programmer or an expert who wants to improve your knowledge of modern asynchronous programming techniques, this book has the information you need to get the job done in C#." —Eric Lippert, Microsoft

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    In this book, a wealth of exercises are provided throughout each section, designed to reinforce learning and the logical comprehension of topics. The use of real data is incorporated much more extensively than in any other book on the market. Consist of strong coverage of computer-based methods, especially in the coverage of analysis of variance and regression. This text stresses mastery of methods most often used in medical research, with specific reference to actual medical literature and actual medical research. The approach minimizes mathematical formulation, yet gives complete explanations of all important concepts. Every new concept is systematically developed through completely worked-out examples from current medical research problems. Computer output is used to illustrate concepts when appropriate.

    "C++ For Dummies, 5th Edition," debunks the myths, blasts the barriers, shares the secrets, and gets you started. In fact, by the end of Chapter 1, you'll be able to create a C++ program. OK, it won't be newest, flashiest video game, but it might be a practical, customized inventory control or record-keeping program.Most people catch on faster when they actually DO something, so "C++ For Dummies" includes a CD-ROM that gives you all you need to start programming (except the guidance in the book, of course), including: Dev-C, a full-featured, integrated C++ compiler and editor you install to get down to businessThe source code for the programs in the book, including code for BUDGET, programs that demonstrate principles in the bookDocumentation for the Standard Template LibraryOnline C++ help filesWritten by Stephen Randy Davis, author of "C++ Weekend Crash Course, C++ for Dummies, " takes you through the programming process step-by-step. You'll discover how to: Generate an executableCreate source code, commenting it as you go and using consistent code indentation and naming conventionsWrite declarations and name variables, and calculate expressionsWrite and use a function, store sequences in arrays, and declare and use pointer variablesUnderstand classes and object-oriented programmingWork with constructors and destructorsUse inheritance to extend classesUse stream I/OComment your code as you go, and use consistent code indentation and naming conventionsAutomate programming with the Standard Template Library (STL)"C++ for Dummies 5th Edition" is updated for the newest ANSI standard to make sure you're up to code.Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.