MACHINE LEARNING
An Applied Mathematics Introduction

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

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