Think Bayes: Bayesian Statistics in Python

by Allen B. Downey

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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 show more methods are becoming more common and more important, but not many resources are available to help beginners. show less

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21+ Works 1,147 Members
Allen B. Downey, professor of Computer Science at Olin College, is the author of O'Reilly books related to software and data science, including Think Python, Think Bayes, and Think Stats. His blog, Probably Overthinking It, features articles on Bayesian probability and statistics. Allen holds a Ph.D. in computer science from U.C. Berkeley, and show more M.S. and B.S. degrees from MIT. show less

Classifications

Genres
Technology, Nonfiction, Science & Nature, General Nonfiction
DDC/MDS
519.5Natural sciences & mathematicsMathematicsProbabilities and applied mathematicsStatistical Mathematics
LCC
QA279.5 .D69ScienceMathematicsMathematicsProbabilities. Mathematical statistics
BISAC

Statistics

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149
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218,763
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(3.89)
Languages
English, Japanese
Media
Paper, Ebook
ISBNs
10
ASINs
1