(Mobile library) Think Bayes: Bayesian Statistics in Python






 | #196190 in Books |  imusti |  2013-10-04 |  2013-10-04 | Original language:English | PDF # 1 |  9.19 x.41 x7.00l,.77 | File Name: 1449370780 | 214 pages

 | O Reilly Media


||117 of 118 people found the following review helpful.| 'Stick' or 'Switch'?|By Ricardo Dapaz|Should you buy this book given that the only other review as of this time is a negative review (based on the lack of a table of contents)? Hmm, that is exactly the sort of decision analysis that is covered by this book. Should you wait for the next train or catch a taxi instead? Or what about the classic Monty Hall problem where ther|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&rsq

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-w...


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