Think Bayes: Bayesian Statistics in Python

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9789351102960
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    All Indian Reprints of O'Reilly are printed in Grayscale.

    If you know how to program with Python andalso know a little about probability, you’re ready to tackle Bayesianstatistics. With this book, you'll learn how to solve statistical problems withPython code instead of mathematical notation, and use discrete probabilitydistributions instead of continuous mathematics. Once you get the math out ofthe way, the Bayesian fundamentals will become clearer, and you’ll begin toapply these techniques to real-world problems.

    Bayesian statistical methods are becoming more common and more important, butnot many resources are available to help beginners. Based on undergraduateclasses taught by author Allen Downey, this book’s computational approach helpsyou 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.

     

    Books
    Author
    Allen Downey
    Binding
    PaperBack
    Condition Type
    New
    Country Origin
    India
    Edition
    First
    Gift Wrap
    No
    Leadtime to ship in days (default)
    Usually ships in 1-2 days
    Pages
    232
    Publication Date
    01/11/2013
    Publisher
    Shroff/O'Reilly
    Year
    2013

    Table of Contents (9789351102960_toc.pdf, 170 Kb) [Download]

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