Think Bayes pdf epub mobi txt 电子书下载 2025

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Allen Downey is a Professor of Computer Science at the Olin College of Engineering. He has taught computer science at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master’s and Bachelor’s degrees from MIT.

出版者:O'Reilly Media

作者:Allen B. Downey

出品人:

页数:210

译者:

出版时间:2013-10-4

价格:USD 29.99

装帧:Paperback

isbn号码:9781449370787

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图书标签:

贝叶斯
数学
统计
数据分析
Python
统计学
科普
计算机

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If you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer, and you’ll begin to apply these techniques to real-world problems.

Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Based on undergraduate classes taught by author Allen Downey, this book’s computational approach helps you get a solid start.

Use your existing programming skills to learn and understand Bayesian statistics

Work with problems involving estimation, prediction, decision analysis, evidence, and hypothesis testing

Get started with simple examples, using coins, M&Ms, Dungeons & Dragons dice, paintball, and hockey

Learn computational methods for solving real-world problems, such as interpreting SAT scores, simulating kidney tumors, and modeling the human microbiome.