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 Title: Computer Age Statistical Inference: Algorithms, Evidence, and Data Science
 Author(s) Bradley Efron and Trevor Hastie
 Publisher: Cambridge University Press; 1 edition (July 21, 2016); eBook (Stanford University 2016)
 Hardcover: 495 pages
 eBook: PDF (493 pages)
 Language: English
 ISBN10: 1107149894
 ISBN13: 9781107149892
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Book Description
A masterful guide to how the inferential bases of classical statistics can provide a principled disciplinary frame for the data science of the twentyfirst century. Every aspiring data scientist should carefully study this book, use it as a reference, and carry it with them everywhere.
The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
About the Authors Bradley Efron is Max H. Stein Professor, Professor of Statistics, and Professor of Biomedical Data Science at Stanford University, California.
 Computer Age Statistical Inference: Algorithms, Evidence, and Data Science
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