Supervised Machine Learning
Samuel Berestizhevsky, Tanya Kolosova
Taylor & Francis Ltd, 2020
220,75 €On orderDelivery: 2-3 weeks
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.
- ISBN-13
- 9780367277321
- ISBN-10
- 0367277328
- Publisher
- Taylor & Francis Ltd
- Year
- 2020
- Publication date
- 2020-09-22
- Pages
- 160
- Dimensions
- 162x241x17
- Weight
- 420