Probably programming on Python. Bayesovsky conclusion and algorithms
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Bayesov methods are frightened by the formulas of many "ITishnikov", but no statistics and probabilities are not done without analysis of statistics. Cameron Davidson-Pailon talks about the Bayesov method from the point of view of a practitioner programmer working with the multifunctional language of PYMC and the Numpy, Scipy and MatPlotlib libraries. Opening the role of Bayesov’s conclusions in A/B-testing, identifying fraud and other pressing tasks, you will not only easily understand this non-trivial topic, but also begin to apply the knowledge gained to achieve your goals
Cover:
Cover:Soft
Category:
- Category:Computer & Technology
Publication language:
Publication Language:Russian
Paper:
Paper:White
Series:
Series: Programmer Library
Age restrictions:
Age restrictions:16+
ISBN:
ISBN:978-5-4461-1058-2
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