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Supervised Machine Learning: Optimization Framework and Applications with SAS and R Tanya Kolosova
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.
182 pages
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2022. gada 29. aprīlis |
| ISBN13 | 9780367538828 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 182 |
| Izmēri | 235 × 157 × 14 mm · 300 g |
| Valoda | Angļu |