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Think Bayes: Bayesian Statistics in Python 1st Edition
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About the Author
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.
- Item Weight : 12.3 ounces
- Paperback : 214 pages
- ISBN-10 : 1449370780
- ISBN-13 : 978-1449370787
- Dimensions : 7 x 0.41 x 9.19 inches
- Publisher : O'Reilly Media; 1st edition (October 8, 2013)
- Language: : English
- Best Sellers Rank: #140,581 in Books (See Top 100 in Books)
- Customer Reviews:
Top reviews from the United States
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In this book, he gives a clear introduction to Bayesian analysis using well through out examples and Python code. There is a small amount of math. He makes very effective use of probability density functions, cumulative distribution functions, and simulations.
He provides multiple examples of model development, including design, testing, and analysis.
The book is appropriate and effective for self study. Highly recommended.
Top reviews from other countries
Whilst I understand that printing in colour would have been more expensive, syntax highlighting (even if just in the PDF) would have been greatly appreciated. The code samples could have, regardless, have been better typeset to differentiate them from the prose.
For those not familiar or not using with python, the book might be less valuable (but would still get 4 stars :)
The reader should have reasonable knowledge of math/statistics.