Think Bayes: Bayesian Statistics in Python Contributor(s): Downey, Allen B. (Author) |
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ISBN: 1449370780 ISBN-13: 9781449370787 Publisher: O'Reilly Media OUR PRICE: $26.99 Product Type: Paperback - Other Formats Published: October 2013 * Not available - Not in print at this time * |
Additional Information |
BISAC Categories: - Mathematics | Probability & Statistics - Bayesian Analysis - Computers | Data Processing - Computers | Programming Languages - Python |
Dewey: 519.542 |
Physical Information: 0.41" H x 7.06" W x 9.15" (0.77 lbs) 190 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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.
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Contributor Bio(s): Downey, Allen B.: - 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. |