Probabilistic Programming in Python. Bayesian Inference and Algorithms

Probabilistic Programming in Python. Bayesian Inference and Algorithms

Bayesian methods scare many "IT people" with their formulas, but it is impossible to avoid statistical analysis and probabilities now. Cameron Davidson-Pilon talks about the Bayesian method from the perspective of a practical programmer working with the multifunctional language PyMC... and the libraries NumPy, SciPy, and Matplotlib. Uncovering the role of Bayesian inference in A/B testing, fraud detection, and other pressing tasks, you will not only easily understand this non-trivial topic but also start applying it.

Author: Кэмерон Дэвидсон-Пайлон

Printhouse: piter

Series: Programmer's Library

Age restrictions: 12+

Year of publication: 2020

ISBN: 9785446110582

Number of pages: 256

Size: 233x164x11 mm

Cover type: soft

Weight: 340 g

ID: 861721

Bayesian methods scare many "IT people" with their formulas, but it is impossible to avoid statistical analysis and probabilities now. Cameron Davidson-Pilon talks about the Bayesian method from the perspective of a practical programmer working with the multifunctional language PyMC and the libraries NumPy, SciPy, and Matplotlib. Uncovering the role of Bayesian inference in A/B testing, fraud detection, and other pressing tasks, you will not only easily understand this non-trivial topic but also start applying it.

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