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.
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.
Title Think Bayes: Bayesian Statistics Made Simple
Author(s) Allen B. Downey
Publisher: O'Reilly Media (October 1, 2013); Green tea Press, 2012 (Version 1.01)
Paperback 210 pages
Language: English
ISBN-10: 1449370780
ISBN-13: 978-1449370787
Author(s) Allen B. Downey
Publisher: O'Reilly Media (October 1, 2013); Green tea Press, 2012 (Version 1.01)
Paperback 210 pages
Language: English
ISBN-10: 1449370780
ISBN-13: 978-1449370787
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