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Bayesian Analysis with Python
- Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ, 2nd Edition
- Binding:
- Paperback
- Pages:
- 356
- Published:
- December 25, 2018
- Edition:
- 2
- Dimensions:
- 190x236x17 mm.
- Weight:
- 670 g.
Delivery:
1-2 weeks
Expected delivery: January 2, 2025
Extended return policy to January 30, 2025
Description of 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.
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