Think Bayes
Bayesian Statistics in Python
$114.58
- Paperback
300 pages
- Release Date
31 May 2021
Summary
If you know how to program, you’re ready to tackle Bayesian statistics. With this book, you’ll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than 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, b…
Book Details
| ISBN-13: | 9781492089469 |
|---|---|
| ISBN-10: | 149208946X |
| Author: | Allen Downey |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 300 |
| Edition: | 2nd |
| Release Date: | 31 May 2021 |
| Weight: | 604g |
| Dimensions: | 233mm x 178mm |
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About The Author
Allen Downey
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. He is author of Think Python, Think Bayes, Think DSP, and a blog, Probably Overthinking It.
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