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Supervised Machine Learning: Optimization Framework and Applications with SAS and R Tanya Kolosova 1. izdevums
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Supervised Machine Learning: Optimization Framework and Applications with SAS and R
Tanya Kolosova
AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. It comprises of bootstrapping to create multiple training and testing data sets, design and analysis of statistical experiments and optimal hyper-parameters for ML methods.
160 pages, 22 Line drawings, black and white; 59 Tables, black and white; 22 Illustrations, black an
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2020. gada 22. septembris |
| ISBN13 | 9780367277321 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 160 |
| Izmēri | 241 × 162 × 17 mm · 420 g |
| Valoda | Angļu |
