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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
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | April 29, 2022 |
| ISBN13 | 9780367538828 |
| Publishers | Taylor & Francis Ltd |
| Pages | 182 |
| Dimensions | 235 × 157 × 14 mm · 300 g |
| Language | English |