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Fundamentals of Data Science Part II M Maruskin Jared
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Fundamentals of Data Science Part II
M Maruskin Jared
In Part II of this series, we cover the elements of statistical modeling, focusing on: validation methodologyprinciples of object-oriented designlinear and logistic regressiongeneralized linear modelscausalitytime series analysisBayesian statistics, including simulations in pymc3Modeling customer lifetime values, including a detailed study of the beta-Bernoulli/beta-binomial model, a discretized version of the classic Pareto/NBDan introduction to credibility theory
The theory is illustrated with simulations in Python throughout the text.
| Medij | Knjige Paperback Book (Knjiga z mehkimi platnicami in lepljenim hrbtom) |
| Izdano | 17. januarja 2022 |
| ISBN13 | 9781941043127 |
| Založniki | Cayenne Canyon Press |
| Strani | 356 |
| Dimenzije | 156 × 234 × 19 mm · 498 g |
| Jezik | Angleščina |
