Supervised Machine Learning: Optimization Framework and Applications with SAS and R - Samuel Berestizhevsky,Tanya Kolosova
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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.
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Description
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.
More Information
| Author | Samuel Berestizhevsky, Tanya Kolosova |
|---|---|
| Publisher | CRC Press |
| Release year | 2020 |
| Cover type | Hardcover |
| EAN | 9780367277321 |