It began, in 1979, as a mad idea of starting a cable channel to televise local sporting events throughout the state of Connecticut. Today, ESPN is arguably the most successful network in modern television history, spanning eight channels in the Unites States and around the world. But the inside story of its rise has never been fully told-until now. Drawing upon over 500 interviews with the greatest names in ESPN's history and an All-Star collection of some of the world's finest athletes, bestselling authors James Miller and Tom Shales take us behind the cameras. Now, in their own words, the men and women who made ESPN great reveal the secrets behind its success-as well as the many scandals, rivalries, off-screen battles and triumphs that have accompanied that ascent. From the unknown producers and business visionaries to the most famous faces on television, it's all here.

    He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of FiveThirtyEight.com. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the "prediction paradox": The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good-or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary-and dangerous-science.Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.

    They would sit together at Fenway. They would exchange emails. They would write about the games. And, as it happened, they would witness the greatest comeback ever in sports, and the first Red Sox championship in eighty-six years. What began as a Sox-filled summer like any other is now a fan's notes for the ages.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    The commissioner, executives, and players were shocked. Sportswriters called author Jim Bouton a traitor and "social leper." Baseball commissioner Bowie Kuhn tried to force him to declare the book untrue. Fans, however, loved the book. And serious critics called it an important social document. Today, Jim Bouton is still not invited to Oldtimer's Days at Yankee Stadium. But his landmark book is still being read by people who don't ordinarily follow baseball.

    (The title of the book is a quote from Casey Stengel, their manager at the time.) Breslin casts the Mets, who lost 120 games out of a possible 162 that year, as a lovable bunch of losers. And, he argues, they were good for baseball, coming as a welcome antidote to "the era of the businessman in sports...as dry and agonizing a time as you would want to see." Although they were written forty years ago, many of Breslin's comments will strike a chord with today's sports fan, fed up with the growing commercialism of the games. Against this trend Breslin sets the exploits of "Marvelous" Marv Throneberry, Stengel, and the rest of the hapless Mets. "Wonderful."--Charles Salzberg, New York Times. "A touching, enjoyable, and interesting addition to anybody's sports reading list."--Patrick Conway

    In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

    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.

    and why do the Germans play with such an efficient but robotic style?These are questions every soccer aficionado has asked. Soccernomics answers them.Using insights and analogies from economics, statistics, psychology, and business to cast a new and entertaining light on how the game works, Soccernomics reveals the often surprisingly counter-intuitive truths about soccer.

    Avoid Grammatical Minefields with this Entertaining GuideConfused about when to use "its" or "it's" or the correct spelling of "principal" and "principle"? My Grammar and I...or Should That Be me? is a refresher course for anyone who has ever been stumped by spelling confusion, dangling modifiers, split infinities, or for those who have no idea what these things even are.Clever, informative, and fun, this delightful little handbook offers practical and humorous guidance on how to avoid falling into language pitfalls.* Sentence Structure: Let's ponder the subject or object: Is it "I" or is it "me"?* Parts of Speech: "whose" or "who's"? "which" or "that"?* Punctuation: So where does that comma go, anyway?* Spelling and Confusables: There are times when the spelling "rules" confuse.* Elements of Style: You'll find there's lots more to know about grammar.* ...and for grammar know-it-alls, there are entertaining "Smart Aleck" tidbits throughout.

    Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.

      Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.

    Witness zealous Judge Landis banish eight players, including Shoeless Joe Jackson, after the infamous "Black Sox" scandal; the flamboyant A's owner Charlie Finley wheel and deal his star players, Vida Blue and Rollie Fingers, like a deck of cards; the hysterical bidding war of coveted free agent Catfish Hunter; the chain-smoking romantic, A. Bartlett Giamatti, locking horns with Pete Rose during his gambling days of summer; and much more . . . .

    Peek behind the counter and learn how sportsbooks operate. Combine that insider knowledge with why-didn’t-I-think-of-that sports betting logic, and you have the winning formula.Ed Miller is a best-selling (over 300,000 copies sold) author of books on poker and gambling. This is his first book on sports betting, but maybe his favorite book to write so far.Matthew Davidow is a sports modeler, using proprietary methods to beat major sports betting markets for over 15 years, and co-founding two leading private sports analytics firms along the way.What people are saying about The Logic Of Sports Betting:"Matt and Ed are two of the smartest minds in sports betting." - Rufus Peabody, professional sports bettor"As a sportsbook employee for 30-plus years, I find it difficult to read or watch anything about sports betting. But I could not put The Logic Of Sports Betting down. It’s that good." - Robert Walker, Las Vegas bookmaker

    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.