Baseball Hacks: Tips & Tools for Analyzing and Winning with Statistics (Paperback)
暫譯: 棒球黑客:利用統計分析和獲勝的技巧與工具 (平裝本)
Joseph Adler
- 出版商: O'Reilly
- 出版日期: 2006-03-07
- 售價: $1,120
- 貴賓價: 9.5 折 $1,064
- 語言: 英文
- 頁數: 472
- 裝訂: Paperback
- ISBN: 0596009429
- ISBN-13: 9780596009427
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相關分類:
機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
商品描述
Baseball Hacks isn't your typical baseball book--it's a book about how to watch, research, and understand baseball. It's an instruction manual for the free baseball databases. It's a cookbook for baseball research. Every part of this book is designed to teach baseball fans how to do something. In short, it's a how-to book--one that will increase your enjoyment and knowledge of the game.
So much of the way baseball is played today hinges upon interpreting statistical data. Players are acquired based on their performance in statistical categories that ownership deems most important. Managers make in-game decisions based not on instincts, but on probability - how a particular batter might fare against left-handed pitching, for instance.
The goal of this unique book is to show fans all the baseball-related stuff that they can do for free (or close to free). Just as open source projects have made great software freely available, collaborative projects such as Retrosheet and Baseball DataBank have made great data freely available. You can use these data sources to research your favorite players, win your fantasy league, or appreciate the game of baseball even more than you do now.
Baseball Hacks shows how easy it is to get data, process it, and use it to truly understand baseball. The book lists a number of sources for current and historical baseball data, and explains how to load it into a database for analysis. It then introduces several powerful statistical tools for understanding data and forecasting results.
For the uninitiated baseball fan, author Joseph Adler walks readers through the core statistical categories for hitters (batting average, on-base percentage, etc.), pitchers (earned run average, strikeout-to-walk ratio, etc.), and fielders (putouts, errors, etc.). He then extrapolates upon these numbers to examine more advanced data groups like career averages, team stats, season-by-season comparisons, and more. Whether you're a mathematician, scientist, or season-ticket holder to your favorite team, Baseball Hacks is sure to have something for you.
Advance praise for Baseball Hacks:
"Baseball Hacks is the best book ever written for understanding and practicing baseball analytics. A must-read for baseball professionals and enthusiasts alike."-- Ari Kaplan, database consultant to the Montreal Expos, San Diego Padres, and Baltimore Orioles
"The game was born in the 19th century, but the passion for its analysis continues to grow into the 21st. In Baseball Hacks, Joe Adler not only demonstrates that the latest data-mining technologies have useful application to the study of baseball statistics, he also teaches the reader how to do the analysis himself, arming the dedicated baseball fan with tools to take his understanding of the game to a higher level."
-- Mark E. Johnson, Ph.D., Founder, SportMetrika, Inc. and Baseball Analyst for the 2004 St. Louis Cardinals
商品描述(中文翻譯)
《棒球黑客》並不是一本典型的棒球書籍——它是一本關於如何觀賞、研究和理解棒球的書。這是一本免費棒球數據庫的使用手冊。這是一本棒球研究的食譜。本書的每一部分都旨在教導棒球迷如何做某件事。簡而言之,它是一本實用指南——一本將提升你對這項運動的享受和知識的書。
當今棒球的玩法在很大程度上依賴於對統計數據的解讀。球員的獲得是基於他們在所有權認為最重要的統計類別中的表現。經理在比賽中的決策不是基於直覺,而是基於概率——例如,某位打者對左投手的表現可能如何。
這本獨特的書的目標是向球迷展示他們可以免費(或幾乎免費)做的所有與棒球相關的事情。正如開源項目使優秀軟體免費可用,像 Retrosheet 和 Baseball DataBank 這樣的協作項目也使優秀數據免費可用。你可以利用這些數據來源來研究你最喜愛的球員,贏得你的幻想聯盟,或比現在更深入地欣賞棒球這項運動。
《棒球黑客》展示了獲取數據、處理數據並利用它來真正理解棒球是多麼簡單。這本書列出了當前和歷史棒球數據的多個來源,並解釋了如何將其加載到數據庫中進行分析。然後,它介紹了幾個強大的統計工具,用於理解數據和預測結果。
對於不熟悉棒球的球迷,作者約瑟夫·阿德勒(Joseph Adler)帶領讀者了解打者(打擊率、上壘率等)、投手(自責分率、三振與保送比等)和守備者(出局、失誤等)的核心統計類別。接著,他進一步推導這些數字,檢視更高級的數據組,如生涯平均、球隊統計、逐季比較等。無論你是數學家、科學家,還是你最喜愛球隊的季票持有者,《棒球黑客》一定會有適合你的內容。
《棒球黑客》的提前讚譽:
《棒球黑客》是理解和實踐棒球分析的最佳書籍。對於棒球專業人士和愛好者來說,這是一本必讀的書。
——阿里·卡普蘭(Ari Kaplan),蒙特利爾博覽會、聖地牙哥教士和巴爾的摩金鶯的數據庫顧問
“這項運動誕生於19世紀,但對其分析的熱情在21世紀仍在不斷增長。在《棒球黑客》中,喬·阿德勒(Joe Adler)不僅展示了最新的數據挖掘技術在棒球統計研究中的有用應用,他還教導讀者如何自己進行分析,為熱愛棒球的球迷提供工具,將他們對這項運動的理解提升到更高的水平。”
——馬克·E·約翰遜(Mark E. Johnson),博士,SportMetrika, Inc.創始人及2004年聖路易紅雀的棒球分析師