With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    But what is a “good” shot? Are all good shots created equally? And how might one identify players who are more or less likely to make and prevent those shots in the first place? The concept of basketball “analytics,” for lack of a better term, has been lauded, derided, and misunderstood. The incorporation of more data into NBA decision-making has been credited—or blamed—for everything from the death of the traditional center to the proliferation of three-point shooting to the alleged abandonment of the area of the court known as the midrange. What is beyond doubt is that understanding its methods has never been more important to watching and appreciating the NBA. In The Midrange Theory, Seth Partnow, NBA analyst for The Athletic and former Director of Basketball Research for the Milwaukee Bucks, explains how numbers have affected the modern NBA game, and how those numbers seek not to “solve” the game of basketball but instead urge us toward thinking about it in new ways.The relative value of Russell Westbrook’s triple-doublesWhy some players succeed in the playoffs while others don’tHow NBA teams think about constructing their rosters through the draft and free agencyThe difficulty in measuring defensive achievementThe fallacy of the “quick two”From shot selection to evaluating prospects to considering aesthetics and ethics while analyzing the box scores, Partnow deftly explores where the NBA is now, how it got here, and where it might be going next.

    Most us have disturbed, restless nights and rely on a cocktail of caffeine and sugar to drag us through the day. Yet the hours we spend in bed shape our mood, motivation and decision-making skills - defining our performance in work, at home and keeping fit.We need a new approach to sleep. One that helps us cope with our ever more demanding days and always be our personal best.Nick Littlehales is the elite sleep coach to some of the world's leading sports stars and teams, across Premiership and international football, British Cycling and Team Sky, rugby and Olympic sports. His groundbreaking practical techniques have transformed the way athletes approach sleep, unlocking higher levels of mental and physical recovery, personal best performances and ultimately a winning mindset.Now he lays bare his strategies for us all to use. From your personal sleep characteristics and cycles, to posture and bedding, he sets out achievable ways to get the highest possible quality of sleep recovery.Read Sleep, learn from the best in sport, and kickstart a more confident, successful and happier you.

    Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan, how much we pay for health insurance--are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination--propping up the lucky, punishing the downtrodden, and undermining our democracy in the process.

    With players Bobby Bonilla, Vince Coleman, Bret Saberhagen, and Howard Johnson, winning another championship seemed a mere formality. The 1992 New York Mets never made it to Cooperstown, however. Veteran newspapermen Bob Klapisch and John Harper reveal the extraordinary inside story of the Mets’ decline and fall—with the sort of detail and uncensored quotes that never run in a family newspaper. From the sex scandals that plagued the club in Florida to the puritanical, no-booze rules of manager Jeff Torborg, from bad behavior on road trips to the downright ornery practical “jokes” that big boys play, The Worst Team Money Could Buy is a grand-slam classic.

    With more than 600 photographs depicting all the postures and breathing exercises, it remains the fullest, most practical, and most profusely illustrated guide by the world's foremost yoga teacher. Light on Yoga is a comprehensive and definitive source-book for the initiated, as well as the best introduction for the novice who seeks the healthful benefits of Yoga for mind, body, and soul.

    The controversial book linking intelligence to class and race in modern society, and what public policy can do to mitigate socioeconomic differences in IQ, birth rate, crime, fertility, welfare, and poverty.

    Essentially, you make an initial guess, and then get more data to improve it. Bayes Theorem, or Bayes Rule, has a ton of real world applications, from estimating your risk of a heart attack to making recommendations on Netflix But It Isn't That Complicated This book is a short introduction to Bayes Theorem. It is only 15 pages long, and is intended to show you how Bayes Theorem works as quickly as possible. The examples are intentionally kept simple to focus solely on Bayes Theorem without requiring that the reader know complicated probability distributions. If you want to learn the basics of Bayes Theorem as quickly as possible, with some easy to duplicate examples, this is a good book for you.

    Now, physicist Leonard Susskind has teamed up with data engineer Art Friedman to present the theory and associated mathematics of the strange world of quantum mechanics.In this follow-up to The Theoretical Minimum, Susskind and Friedman provide a lively introduction to this famously difficult field, which attempts to understand the behavior of sub-atomic objects through mathematical abstractions. Unlike other popularizations that shy away from quantum mechanics’ weirdness, Quantum Mechanics embraces the utter strangeness of quantum logic. The authors offer crystal-clear explanations of the principles of quantum states, uncertainty and time dependence, entanglement, and particle and wave states, among other topics, and each chapter includes exercises to ensure mastery of each area. Like The Theoretical Minimum, this volume runs parallel to Susskind’s eponymous Stanford University-hosted continuing education course.An approachable yet rigorous introduction to a famously difficult topic, Quantum Mechanics provides a tool kit for amateur scientists to learn physics at their own pace.

    What's new in the Second Edition? 1. Fully compliant with the latest version of SPSS version 12 2. More coverage of advanced statistics including completely new coverage of non-parametric statistics. The book is 50 per cent longer than the First Edition. 3. Each section of each chapter now has a notation - 1,2 or 3 - referring to the intended level of study. This helps students navigate their way through the book and makes it user-friendly for students of ALL levels. 4. Has a 'how to use this book' section at the start of the text. 5. Characters in each chapter have defined roles - summarizing key points, to pose questions etc 6. Each chapter now has several examples for students to work through. Answers provided on the enclosed CD-ROM

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    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    His classic autobiography, written with the talented sportswriter Ed Linn, is an uproarious book packed with information about the history of baseball and tales of players and owners, including some of the most entertaining stories in all of sports literature.

    In the hard-knuckled thirties, he was the immigrant boy who made it big—and spurred the New York Yankees to a new era of dynasty. He was the Yankee Clipper, the icon of elegance, the man who wooed and won Marilyn Monroe—the most beautiful girl America could dream up. Joe DiMaggio was a mirror of our best self. And he was also the loneliest hero we ever had.In this groundbreaking biography, Pulitzer Prize-winning journalist Richard Ben Cramer presents a shocking portrait of a complicated, enigmatic life. The story that DiMaggio never wanted told, tells of his grace—and greed; his dignity, pride—and hidden shame. It is a story that sweeps through the twentieth century, bringing to light not just America's national game, but the birth (and the price) of modern national celebrity.

    Intelligent and insightful, former Montreal Canadiens goalie and former President of the Toronto Maple Leafs, Ken Dryden captures the essence of the sport and what it means to all hockey fans. He gives us vivid and affectionate portraits of the characters—Guy Lafleur, Larry Robinson, Guy Lapointe, Serge Savard, and coach Scotty Bowman among them—that made the Canadiens of the 1970s one of the greatest hockey teams in history. But beyond that, Dryden reflects on life on the road, in the spotlight, and on the ice, offering up a rare inside look at the game of hockey and an incredible personal memoir. This commemorative edition marks the 20th anniversary of "The Game's" original publication. It includes black and white photography from the Hockey Hall of Fame and a new chapter from the author. Take a journey to the heart and soul of the game with this timeless hockey classic.