Think Bayes: Bayesian Statistics in Python
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-world problems.
Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Based on undergraduate classes taught by author Allen Downey, this book's computational approach helps you get a solid start.
| Pages : | 210 pages |
| Size : | HTML and PDF (213 pages, 2.3 MB) |
| File type : | |
| Downloads: | 23 |
| Created: | 2020-08-30 |
| License: | CC BY-NC 4.0 |
| Author(s): | Allen B. Downey |
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Others Statistics Tutorials
Think Stats: Probability and Statistics for Programmers
OpenIntro Statistics, 4th Edition
Lies, Damned Lies, or Statistics: How to Tell the Truth with Statistics
Think Stats, 2nd Edition: Exploratory Data Analysis in Python
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