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Supervised Machine Learning: Optimization Framework and Applications with SAS and R Tanya Kolosova 1. utgave
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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
| Media | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 22. september 2020 |
| ISBN13 | 9780367277321 |
| Utgivere | Taylor & Francis Ltd |
| Antall sider | 160 |
| Mål | 241 × 162 × 17 mm · 420 g |
| Språk | Engelsk |
