Supervised Machine Learning: Optimization Framework and Applications with SAS and R - Samuel Berestizhevsky,Tanya Kolosova
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Toimitus 17-23 arkipäivässä
30 päivän palautusoikeus
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.
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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.
Lisätietoja
| Kirjoittaja | Samuel Berestizhevsky, Tanya Kolosova |
|---|---|
| Julkaisija | CRC Press |
| Julkaisuvuosi | 2020 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9780367277321 |