• Title: Computer Age Statistical Inference: Algorithms, Evidence, and Data Science
• Author(s) Bradley Efron and Trevor Hastie
• Publisher: Cambridge University Press; 1 edition; eBook (Stanford University 2016)
• Permission: For Personal Use Only
• Hardcover: 495 pages
• eBook: PDF (493 pages)
• Language: English
• ISBN-10: 1107149894
• ISBN-13: 978-1107149892
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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 twenty-first 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.

• Bradley Efron is Max H. Stein Professor, Professor of Statistics, and Professor of Biomedical Data Science at Stanford University, California.

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• Statistics
• Data Science
• Machine Learning
• Probability, Stochastic Process, Queueing Theory, etc.

• Computer Age Statistical Inference: Algorithms, Evidence, and Data Science
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