The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa

    Sold in over 85 countries and translated into more than 5 languages.---------------Want to get started on data science?Our promise: no math added.This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations and visuals.Popular concepts covered include:- A/B Testing- Anomaly Detection- Association Rules- Clustering- Decision Trees and Random Forests- Regression Analysis- Social Network Analysis- Neural NetworksFeatures:- Intuitive explanations and visuals- Real-world applications to illustrate each algorithm- Point summaries at the end of each chapter- Reference sheets comparing the pros and cons of algorithms- Glossary list of commonly-used termsWith this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.

    By presenting actual experiences and analyzing them as they are described, the author conveys the developmental thought processes employed and shows a style of thinking that leads to successful results is something that can be learned. Along with spectacular successes, the author also conveys how failures contributed to shaping the thought processes. Provides the reader with a style of thinking that will enhance a person's ability to function as a problem-solver of complex technical issues. Consists of a collection of stories about the author's participation in significant discoveries, relating how those discoveries came about and, most importantly, provides analysis about the thought processes and reasoning that took place as the author and his associates progressed through engineering problems.

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

       Hoop dreams aren’t just for players. The fever that grips college basketball prospects hoping to strike big-time NBA gold afflicts coaches, parents, and sneaker executives as well. Every one of them has a stake in keeping America’s wildly dysfunctional, incredibly lucrative youth basketball machine up and running—no matter the consequences. In Play Their Hearts Out, George Dohrmann offers an up-close and unforgettable look inside the maw of that machine. He shares what he learned from his years spent embedded with a group of talented young recruits from Southern California as they traveled the country playing in elite Amateur Athletic Union (AAU) events. It’s a cutthroat world where boys as young as eight or nine are subjected to a dizzying torrent of scrutiny and exploitation. Coaches vie to have them on their teams. Sneaker companies ply them with free shoes and gear. “All-star camps” are glorified cattle auctions, providing make-or-break opportunities to secure the promise of an elusive college scholarship.   At the book’s heart are the personal stories of two compelling figures: Joe Keller, an ambitious AAU coach with a master plan to find and promote “the next LeBron”—thereby paving his own path to power and riches; and Demetrius Walker, a fatherless latchkey kid who falls under Keller’s sway and struggles to live up to the unrealistic expectations his supposed benefactor has set for him. As their fortunes take shape and the pressure mounts—Demetrius finds himself profiled in Sports Illustrated at age fourteen, while Keller cultivates his business empire—Dohrmann weaves in the stories of numerous other parents, coaches, and players. Some of them see their prospects evaporate as a result of poor decisions and worse luck. Others learn how to thrive in a corrupt system by playing the right angles. Written with incomparable detail and insight, Play Their Hearts Out is a thoroughly unique narrative that reveals the inner workings of an American game, exposing the gritty reality that lies beneath so many dreams of fame and glory.

    They may even have a point. But to build something so successful, so popular, so inescapable, you've got to have mighty strong foundations.Prior to 1992, the old First Division was England's premier prize. Its rich tapestry winds back to 1888 and the formation of the Football League. A grand century-long tradition in danger of being lost in the wake of Premier League year zero.No more! In The Title Scott Murray tells the lively, cherry-picked story of English football through the prism of the First Division. Rich with humour yet underpinned with solid research, this is a glorious meander across our national sport's varied terrain.With as much about Burnley, Wolves, West Brom and Portsmouth as the likes of Arsenal, Liverpool and Manchester United, we learn the less well-known stories the sport has to tell, such as the plight of Glossop, the smallest club to ever play top-flight football, and final day drama involving Huddersfield and Cardiff that knocks Michael Thomas into a cocked hat. We bask in the managerial genius of Tom Watson, the bowler-hatted Victorian Mourinho; celebrate the joy of the Busby Babes; discover the shameless showmanship of George Allison; embark on righteous escapades with Hughie Gallacher; and meet some old favourites in Don Revie, Bill Shankly, Alex Ferguson and Brian Clough.At turns exciting, surprising, witty and bittersweet, The Title is a highly informed, fresh and affectionate love-letter to the English game, and a delight for any football fan.

    For centuries, the power of zero savored of the demonic; once harnessed, it became the most important tool in mathematics. Zero follows this number from its birth as an Eastern philosophical concept to its struggle for acceptance in Europe and its apotheosis as the mystery of the black hole. Today, zero lies at the heart of one of the biggest scientific controversies of all time, the quest for the theory of everything. Elegant, witty, and enlightening, Zero is a compelling look at the strangest number in the universe and one of the greatest paradoxes of human thought.

    He proposes his solution.

    With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.Use graphics to describe data with one, two, or dozens of variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome familiar with different open source programming environments for data analysisFinally, a concise reference for understanding how to conquer piles of data.--Austin King, Senior Web Developer, MozillaAn indispensable text for aspiring data scientists.--Michael E. Driscoll, CEO/Founder, Dataspora

    Of course, it’s not all cooking; we’ll also run the New York and Chicago marathons, pay visits to Cinderella and Lewis Carroll, and even get to the bottom of a tomato’s identity as a vegetable. This is not the math of our high school classes: mathematics, Cheng shows us, is less about numbers and formulas and more about how we know, believe, and understand anything, including whether our brother took too much cake.At the heart of How to Bake Pi is Cheng’s work on category theory—a cutting-edge “mathematics of mathematics.” Cheng combines her theory work with her enthusiasm for cooking both to shed new light on the fundamentals of mathematics and to give readers a tour of a vast territory no popular book on math has explored before. Lively, funny, and clear, How to Bake Pi will dazzle the initiated while amusing and enlightening even the most hardened math-phobe.

    This work focuses on the experience of adults with the disorder, combining practical information and moral support. It explains the diagnostic process and distinguishes ADD symptions from normal lapses in memory, lack of concentrations, and impulse behaviour, and addresses: how to achieve balance by analyzing one's strengths and weaknesses; how to get along in groups, at work, and intimate and family relationships - including how to decrease discord and chaos; mechanical aides and methods for getting organized and improving memory; and professional help, including medication and therapy.

    Kathryn Schulz, editor of Grist magazine, argues that error is the fundamental human condition and should be celebrated as such. Guiding the reader through the history and psychology of error, from Socrates to Alan Greenspan, Being Wrong will change the way you perceive screw-ups, both of the mammoth and daily variety, forever.

    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.

    However, while it’s enjoyable to watch, the real reason it works is because it’s a game of culture, art, and all the things that make us human. How to Watch Basketball Like a Genius deconstructs the sport from top to bottom and then puts it back together again, detailing its intricacies through reporting and dozens of interviews with experts. These experts, however, are a diverse group: wine critics weighing in on LeBron’s ability to delegate on the fly, magicians analyzing Chris Paul’s mystifying dribbling techniques, cartographers breaking down Steph Curry’s deadeye three-point shooting. Every chapter treats basketball to a multi-disciplined study that adventures far beyond the lines of the court, examining key elements of the sport from some surprising and revealing angles. There’s a reason it has conquered the world, and every game is a chance to learn about pop culture, fashion, history, science, art, and anything else that bounces our way.

    His description of a systematic, detailed training programme for beginners and top-runners is based on a clear defined conception of fitness. Beneath detailed schedules for training, the book includes tips concerning equipment, kit, nutrition, prevention of injury, therapy and the relationship between the coach and the athlete.