Think Bayes: Bayesian Statistics in Python (O'reilly) - Softcover

Downey, Allen B

 
9781492089469: Think Bayes: Bayesian Statistics in Python (O'reilly)
Softcover
ISBN 10: 149208946X ISBN 13: 9781492089469
Verlag: O'Reilly Media, 2021

Inhaltsangabe

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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Über die Autorin bzw. den Autor

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. He is author of Think Python, Think Bayes, Think DSP, and a blog, Probably Overthinking It.

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Verlag
O'Reilly Media
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
149208946X
ISBN 13 
9781492089469
Einband
Tapa blanda
Auflage
2
Anzahl der Seiten
335
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
gpsr@libri.de
gpsr@libri.de

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