Supervised Machine Learning: Optimization Framework and Applications with SAS and R

By Tanya Kolosova and Samuel Berestizhevsky

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 0367538822
• ISBN13: 9780367538828
• Release Date: April 2022
• Publisher: CRC Press
• Length: 182 Pages
• Weight: 0.59 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"