Machine Learning

by Zhi-Hua Zhou

Book Overview

1 Introduction.- 2 Model Selection and Evaluation.- 3 Linear Models.- 4 Decision Trees.- 5 Neural Networks.- 6 Support Vector Machine.- 7 Bayes Classifiers.- 8 Ensemble Learning.- 9 Clustering.- 10 Dimensionality Reduction and Metric Learning.- 11 Feature Selection and Sparse Learning.- 12 Computational Learning Theory.- 13 Semi-Supervised Learning.- 14 Probabilistic Graphical Models.- 15 Rule Learning.- 16 Reinforcement Learning.

• Format: Paperback
• Language: English
• ISBN: 9811519692
• ISBN13: 9789811519697
• Release Date: August 2022
• Publisher: Springer
• Length: 459 Pages
• Weight: 1.65 lbs.
• Dimensions: 0.9" x 6.7" x 9.6"