During one at-bat this talented slugger lined a ball so hard that the rightfielder was able to play it off the top of the fence and throw Christobel Torrienti out at first base. The scout liked what he saw, but was disappointed in the player's appearance. "He was a light brown," recalled one of Torrienti's teammates, "and would have gone up to the major leagues, but he had real rough hair." Such was life behind the color line, the unofficial boundary that prevented hundreds of star-quality athletes from playing big-league baseball. When Only the Ball Was White was first published in 1970, Satchel Paige had not yet been inducted into the Hall of Fame and there was a general ignorance even among sports enthusiasts of the rich tradition of the Negro Leagues. Few knew that during the 1930s and '40s outstanding black teams were playing regularly in Yankee Stadium and Brooklyn's Ebbets Field. And names like Cool Papa Bell, Rube Foster, Judy Johnson, Biz Mackey, and Buck Leonard would bring no flash of smiling recognition to the fan's face, even though many of these men could easily have played alongside Ty Cobb, Walter Johnson, Hack Wilson, Lou Gehrig--and shattered their records in the process. Many baseball pundits now believe, for example, that had Josh Gibson played in the major leagues, he would have surpassed Babe Ruth's 714 home runs before Hank Aaron had even hit his first. And the great Dizzy Dean acknowledged that the best pitcher he had ever seen was not Lefty Grove or Carl Hubbell, but rather "old Satchel Paige, that big lanky colored boy." In Only the Ball Was White, Robert Peterson tells the forgotten story of these excluded ballplayers, and gives them the recognition they were so long denied. Reconstructing the old Negro Leagues from contemporary sports publications, accounts of games in the black press, and through interviews with the men who actually played the game, Peterson brings to life the fascinating period that stretched from shortly after the Civil War to the signing of Jackie Robinson in 1947. We watch as the New York Black Yankees and the Philadelphia Crawfords take the field, look on as the East-West All-Star lineups are announced, and listen as the players themselves tell of the struggle and glory that was black baseball. In addition to these vivid accounts, Peterson includes yearly Negro League standings and an all-time register of players and officials, making the book a treasure trove of baseball information and lore. A monumental and poignant book, Only the Ball Was White reminds us that what was often considered the "Golden Age" of baseball was also the era of Jim Crow. It is a book that must be read by anyone hoping not only to understand the story of baseball, but the story of America.

    This entertaining guide builds on scores of case studies taken from business, sports, the movies, politics, and gambling. It outlines the basics of good strategy making and then shows how you can apply them in any area of your life.

    Ted Williams was the best hitter in baseball history. This Red Sox legend's batting average of .406 in 1941 has not been topped since, and no player who has hit over 500 home runs has a higher career batting average. Those totals would have been even higher if Williams had not left baseball for nearly five years in the prime of his career to serve as a Marine pilot in World War II and Korea. He hit home runs as far as or farther than any player before him – and traveled a long way himself, as Ben Bradlee, Jr.'s, grand biography reveals. Born in 1918 in San Diego, Ted would spend most of his life disguising his Mexican heritage. During his 22 years with the Boston Red Sox, Williams electrified crowds across American–and shocked them, too: His notorious clashes with the press and fans threatened his reputation. Yet while he was a God in the batter's box, he was profoundly human once he stepped away from the plate. His ferocity came to define his troubled domestic life. While baseball might have been straightforward for Ted Williams, life was not. "The Kid" is biography of the highest literary order, a thrilling and honest account of a legend in all his glory and human complexity. In his final at-bat, Williams hit a home run. Bradlee's marvelous book clears the fences, too.

    Louis Cardinals play the Chicago Cubs--the "lovable losers" to most fans but the hated enemy to the Leitch men. Along for the ride are both Will's father, the gregarious but not-exactly demonstrative Midwestern titan who, despite being a die-hard Cards fan and living his whole life just 200 miles south of Chicago, had never been to Wrigley Field before this game, and Will's college friend, a lifelong Cubs fan. The Cardinals have recently fallen out of the pennant race, and the Cubs, as it turns out, are attempting to clinch the division on this Saturday afternoon in September. The pitchers are Ted Lilly for the Cubs and Joel Pineiro for the Cardinals. It's just a regular game. Play ball. The book unfolds in half-inning increments where Will gives one-of-a-kind insight on the past, present, and future of the game--from Pujols' unrivaled greatness to the myth that steroids have ruined baseball. Along the way, he shares memories of his father and growing up in the small town of Mattoon, including the year his dad coached his Little League team and nicknamed a scrawny kid "Bulldog," and an unlikely postgame episode involving a biker bar and Mr. Holland's Opus. And there is beer. Lots and lots of beer.Are We Winning? is a book about the indelible bond that links fathers and sons. For the Leitch men it's baseball that holds them together--not that either of them would ever be so weak as to admit it. No matter how far apart they are or what's going on in their lives, they'll always be able to talk about baseball. It's the story of being a fan, a story about fathers, sons, and legacies. And one perfect game.

    In this smart and funny fan’s guide Hample explains the ins and outs of pitching, hitting, running, and fielding, while offering insider trivia and anecdotes that will surprise even the most informed viewers of our national pastime.What is the difference between a slider and a curveball?At which stadium did “The Wave” first make an appearance? How do some hitters use iPods to improve their skills?Which positions are never played by lefties?Why do some players urinate on their hands?Combining the narrative voice and attitude of Michael Lewis with the compulsive brilliance of Schott’s Miscellany, Watching Baseball Smarter will increase your understanding and enjoyment of the sport–no matter what your level of expertise. Zack Hample is an obsessed fan and a regular writer for minorleaguebaseball.com. He's collected nearly 3,000 baseballs from major league games and has appeared on dozens of TV and radio shows. His first book, How to Snag Major League Baseballs, was published in 1999.

    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.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    But many managers can't read a balance sheet, wouldn't recognize a liquidity ratio, and don't know how to calculate return on investment. Worse, they don't have any idea where the numbers come from or how reliable they really are. In Financial Intelligence, Karen Berman and Joe Knight teach the basics of finance--but with a twist. Financial reporting, they argue, is as much art as science. Because nobody can quantify everything, accountants always rely on estimates, assumptions, and judgment calls. Savvy managers need to know how those sources of possible bias can affect the financials and that sometimes the numbers can be challenged. While providing the foundation for a deep understanding of the financial side of business, the book also arms managers with practical strategies for improving their companies' performance--strategies, such as "managing the balance sheet," that are well understood by financial professionals but rarely shared with their nonfinancial colleagues. Accessible, jargon-free, and filled with entertaining stories of real companies, Financial Intelligence gives nonfinancial managers the financial knowledge and confidence for their everyday work. Karen Berman and Joe Knight are the owners of the Los Angeles-based Business Literacy Institute and have trained tens of thousands of managers at many leading organizations. Co-author John Case has written several popular books on management.

    In Dataclysm, Christian Rudder uses it to show us who we truly are.   For centuries, we’ve relied on polling or small-scale lab experiments to study human behavior. Today, a new approach is possible. As we live more of our lives online, researchers can finally observe us directly, in vast numbers, and without filters. Data scientists have become the new demographers.   In this daring and original book, Rudder explains how Facebook "likes" can predict, with surprising accuracy, a person’s sexual orientation and even intelligence; how attractive women receive exponentially more interview requests; and why you must have haters to be hot. He charts the rise and fall of America’s most reviled word through Google Search and examines the new dynamics of collaborative rage on Twitter. He shows how people express themselves, both privately and publicly. What is the least Asian thing you can say? Do people bathe more in Vermont or New Jersey? What do black women think about Simon & Garfunkel? (Hint: they don’t think about Simon & Garfunkel.) Rudder also traces human migration over time, showing how groups of people move from certain small towns to the same big cities across the globe. And he grapples with the challenge of maintaining privacy in a world where these explorations are possible.   Visually arresting and full of wit and insight, Dataclysm is a new way of seeing ourselves—a brilliant alchemy, in which math is made human and numbers become the narrative of our time.

    This new edition is fully updated with fresh insights and innovative training techniques from one of the sport's leading voices. Danny Dreyer teaches us how to heal and prevent injuries and also to run faster, farther, and with much less effort at any age or ability.With more than 150,000 copies in print, this groundbreaking program makes running safe and fun for beginning and seasoned runners, while also giving competitive runners the edge they seek. ChiRunning employs the deep power reserves in the core muscles, an approach found in disciplines such as yoga, Pilates, and in this case T'ai Chi. Make knee pain and shin splints a thing of the past Experience the natural efficiency of the midfoot strike Dramatically reduce your potential for injury Transform your running with our new 10-step training program ChiRunning provides powerful insight and transforms running from a high-injury sport to a body-friendly fitness phenomenon. Join the revolution!

    Not just a special day in a historic rivalry but a unique one in the long tradition of baseball writing. For on this day award-winning sportswriter Steve Kettmann worked with a team of top reporters to chronicle everything that happened, from the point of view of everyone involved. With One Day at Fenway, Kettmann goes beyond the ballpark to bring you interviews and anecdotes involving all the major players—from Red Sox owner John Henry and CEO Larry Lucchino, privately second-guessing Grady Little's managing moves during the game; to Yankee skipper Joe Torre, worrying on the bench about Mariano Rivera, who can't find home plate; to Sox slugger Manny Ramirez, who missed the game with a throat infection. And there's more: the famous and infamous players in the field and in the boardrooms, rabid fans on both sides, the not-so-innocent bystanders—all here in this brilliant re-creation of a day in the life of America's favorite pastime.

    Prophet of the Sandlots reveals a world of farm teams and back roads, where hopes of athletic glory rise as dependably as the corn, and honors a baseball sage who is the best possible guide to the game at America's heart--Tony Lucadello.

    Bill James has been called “baseball’s shrewdest analyst” (Slate) and “part of baseball legend” (The New Yorker), and his Baseball Abstract has been acclaimed as the “holy book of baseball” (Chicago Tribune). Thirty years ago, James introduced a new approach to evaluating players and strategies, and now his theories have become indispensable tools for agents, statistics analysts, maverick general managers, and anyone who is serious about understanding the game.James began writing about baseball while working at a factory in his native Kansas. In lively, often acerbic prose, he used statistics to challenge entrenched beliefs and uncover surprising truths about the game. His annual Baseball Abstract captured the attention of fans and front offices and went on to become a bestselling staple of the baseball book category. In 2002, the Boston Red Sox hired James as an advisor. Two years later they achieved their long-awaited World Series triumph.The Mind of Bill James tells the story of how a gifted outsider inspired a new understanding of baseball. It delves deeply into James’s essential wisdom–including his surprising beliefs about pitch counts and the importance of batting-order, thoughts on professionalism and psychology, and why teams tend to develop the characteristics that are least favored by their home parks. It also brings together his best writing, much of it long out of print, as well as insights from new interviews. Written with James’ full cooperation, it is at once an eye-opening portrait of baseball’s virtuoso analyst and a treasury of his idiosyncratic genius.

    Kerrane is a professor of English at the University of Delaware.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results