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Think Bayes: Bayesian Statistics in Python, 2nd Edition PDF

300 Pages·2021·12.6754 MB·other
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by Allen Downey| 2021| 300 pages| 12.6754| other

About Think Bayes: Bayesian Statistics in Python, 2nd Edition

If you know how to program with Python, youâ??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 instead of continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer, and youâ??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 bookâ??s computational approach helps you get a solid start. Use your existing programming skills to learn and understand Bayesian statistics Work with problems involving estimation, prediction, decision analysis, evidence, and hypothesis testing Get started with simple examples, using coins, dice, and a bowl of cookies Learn computational methods for solving real-world problems

Detailed Information

Author:Allen Downey
Publication Year:2021
ISBN:9781492089469
Pages:300
Language:other
File Size:12.6754
Format:PDF
Price:FREE
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