O'Reilly® Think Bayes: Bayesian Statistics in Python
Overview & Synopsis
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.
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Document Information
| Document Title | O'Reilly® Think Bayes: Bayesian Statistics in Python |
|---|---|
| Author / Organization | Allen B. Downey |
| Subject & Discipline | Bayesian Thinking, Statistics, Mathematical Statistics, and SAS Programming, Python Programming, Probability and Stochastic, Books by O'Reilly® |
| Categories | Bayesian Thinking |
| Publication Year | 2021 |
| ISBN | 149208946X |
| License / Rights | CC BY-NC 4.0 |
| Resource Verification | Verification pending |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-18096 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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