In Part II of this series, we cover the elements of statistical modeling, focusing on: validation methodology principles of object-oriented design linear and logistic regression generalized linear models causality time series analysis Bayesian statistics, including simulations in pymc3 Modeling customer lifetime values, including a detailed study of the beta-Bernoulli/beta-binomial model, a discretized version of the classic Pareto/NBD an introduction to credibility theory The theory is ...
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In Part II of this series, we cover the elements of statistical modeling, focusing on: validation methodology principles of object-oriented design linear and logistic regression generalized linear models causality time series analysis Bayesian statistics, including simulations in pymc3 Modeling customer lifetime values, including a detailed study of the beta-Bernoulli/beta-binomial model, a discretized version of the classic Pareto/NBD an introduction to credibility theory The theory is illustrated with simulations in Python throughout the text.
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Add this copy of Fundamentals of Data Science Part II: Statistical to cart. $25.72, very good condition, Sold by Big River Books rated 5.0 out of 5 stars, ships from Powder Springs, GA, UNITED STATES, published 2022 by Cayenne Canyon Press.
Add this copy of Fundamentals of Data Science Part II: Statistical to cart. $25.72, good condition, Sold by Big River Books rated 5.0 out of 5 stars, ships from Powder Springs, GA, UNITED STATES, published 2022 by Cayenne Canyon Press.
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