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  • Think Bayes: Bayesian Statistics in Python

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Think Bayes: Bayesian Statistics in Python

by Allen B. Downey (Author) Format: Paperback
4.2 out of 5 stars (102)

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If you know how to program with Python and also know a little about probability, youâ??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 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, 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.

Read more
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  1. ISBN-10
    1449370780
  2. ISBN-13
    978-1449370787
  3. Edition
    1st
  4. Publisher
    O'Reilly Media
  5. Publication date
    October 29, 2013
  6. Language
    English
  7. Dimensions
    7 x 0.41 x 9.19 inches
  8. Print length
    211 pages
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Editorial Reviews

About the Author

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.

Product details

  • Publisher ‏ : ‎ O'Reilly Media
  • Publication date ‏ : ‎ October 29, 2013
  • Edition ‏ : ‎ 1st
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 211 pages
  • ISBN-10 ‏ : ‎ 1449370780
  • ISBN-13 ‏ : ‎ 978-1449370787
  • Item Weight ‏ : ‎ 12.8 ounces
  • Dimensions ‏ : ‎ 7 x 0.41 x 9.19 inches
  • Best Sellers Rank: #1,266,253 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.2 out of 5 stars (102)

About the authors

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  1. Allen Downey

    Allen Downey

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    Allen Downey is a Professor Emeritus at Olin College and Principal Data Scientist at PyMC Labs. He is the author of several books related to programming and data science, including Probably Overthinking It, Think Python, Think Stats, and Think Bayes. The idea behind these books is that if you know how to program, you can use that skill to learn other things.

    Allen has a Ph.D. from U.C. Berkeley and M.S. and B.S. degrees from MIT. He has taught at Olin College, Colby College and Wellesley College.

    See more on the author's page
  2. Allen B. Downey

    Allen B. Downey

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    Discover more of the author’s books, see similar authors, read book recommendations and more.

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