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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.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2022. gada 17. janvāris |
| ISBN13 | 9781941043127 |
| Izdevēji | Cayenne Canyon Press |
| Lapas | 356 |
| Izmēri | 156 × 234 × 19 mm · 498 g |
| Valoda | Angļu |
