Book

Bayesian Analysis with Python

Bayesian inference uses probability distributions and Bayes' theorem to build flexible models. The book uses PyMC3 to abstract all the mathematical and computational details from this process allowing readers to solve a wide range of problems in data science.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
11h52m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 11h52m total length

1. Thinking probabilistically
2. Programming probabilistically
3. Modeling with Linear Regression
4. Generalizing Linear Models
5. Model Comparison
6. Mixture Models
7. Gaussian Processes
8. Inference Engines
9. Where To Go Next?

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