ABSTRACT

A First Course in Machine Learning covers the core mathematical and statistical techniques needed to understand some of the most popular machine learning algorithms. The algorithms presented span the main problem areas within machine learning: classification, clustering and projection. The text gives detailed descriptions and derivations for a smal

chapter 1|38 pages

Linear Modelling: A Least Squares Approach

chapter 3|44 pages

The Bayesian Approach to Machine Learning

chapter 4|30 pages

Bayesian Inference

chapter 5|38 pages

Classification

chapter 6|32 pages

Clustering