MACHINE LEARNING
An Applied Mathematics Introduction
Pages: 246
Contents:
1 Introduction
2 General Matters
3 K Nearest Neighbours
4 K Means Clustering
6 Regression Methods
7 Support Vector Machines
8 Self-Organizing Maps
9 Decision Trees
10 Neural Networks
11 Reinforcement Learning
Datasets