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Think Bayes : Bayesian Statistics in Python - Allen B Downey

Think Bayes

Bayesian Statistics in Python

Paperback Published: 18th October 2013
ISBN: 9781449370787
Number Of Pages: 210

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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.

Book features

:
  • 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, M&Ms, Dungeons & Dragons dice, paintball, and hockey
  • Learn computational methods for solving real-world problems, such as interpreting SAT scores, simulating kidney tumors, and modeling the human microbiome.

About the Author

Allen B. Downey is a Professor of Computer Science at Olin College of Engineering. He has taught 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.

ISBN: 9781449370787
ISBN-10: 1449370780
Audience: General
Format: Paperback
Language: English
Number Of Pages: 210
Published: 18th October 2013
Publisher: John Wiley & Sons Publishers
Country of Publication: US
Dimensions (cm): 23.8 x 18.0  x 1.18
Weight (kg): 0.35

Earn 61 Qantas Points
on this Book