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Think bayes: bayesian statistics in python (o'reilly) 2nd edition, allen downey
Описание
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, but
there aren't many resources available to help beginners. Based on
undergraduate classes taught by author Allen B. Downey, this book's
computational approach helps you get a solid start.
Use your programming skills to learn and understand Bayesian statistics
Work with problems involving estimation, prediction, decision analysis,
evidence, and Bayesian hypothesis testing
Get started with simple examples, using coins, dice, and a bowl of cookies
Learn computational methods for solving real-world problems
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