Bayesian methods for hackers : probabilistic programming and Bayesian inference / Cameron Davidson-Pilon.
Material type: TextPublication details: New York : Addison-Wesley, 2016.Description: xvi, 226 p. : illustrations (some color) ; 24 cmISBN:- 9780133902839 (pbk. : alk. paper)
- 000SB:006.3 23 D253
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
Books | ISI Library, Kolkata | 000SB:006.3 D253 (Browse shelf(Opens below)) | Available | 136882 |
Includes index.
1. The philosophy of Bayesian inference --
2. A little more on PyMc --
3. Opening the black box of mcmc --
4. The greatest theorem never told --
5. Would you rather lose an arm of a leg? --
6. Getting our priorities straight --
7. Bayesian A/B testing --
Glossary --
Index.
This is a very informative guide to thinking about programming from a Bayesian point of view. The word hackers in the title may be misleading to some, but if we think about hackers as explorers, builders and people who like to figure out how things, work, this is an approach to reason and thinking that can open new doors to a "hacker." The math can get a little funky at times, but that's a problem for us just power through and keep reading because the math is there to help illustrate the approaches and isn't specifically required for all of the exercises.
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