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Fundamentals of Data Science Trilogy Jared M Maruskin
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Fundamentals of Data Science Trilogy
Jared M Maruskin
In this series, we cover statistical experimentation, modeling, and machine learning, focusing on: basic statistics, hypothesis testing, and experimentationvalidation methodologylinear and logistic regression; generalized linear modelscausalitytime series analysisBayesian statisticsclusteringdecision trees, random forests, and boosted forestsartificial neural networks and deep learningreinforcement learning
Our focus is on mathematical derivations, algorithmic development, and programming. We use Python throughout the text to support our theory. All machine learning techniques are coded from scratch using Python.
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| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2022. gada 29. aprīlis |
| ISBN13 | 9781941043011 |
| Izdevēji | Cayenne Canyon Press |
| Lapas | 892 |
| Izmēri | 156 × 234 × 45 mm · 1,22 kg |
| Valoda | Angļu |
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