So far only includes Introduction to Machine Learning:

This talk will introduce the audience to machine learning techniques and algorithms through an example of a classifier that can predict an animal’s species as canine or feline based on a simple set of features. Three very different algorithms are introduced, Naïve Bayes, Artificial Neural Networks and Random Forests. These three algorithms provide a good starting point for most classification problems. The performance and accuracy of the three algorithms is compared and suggestions for future work on the classifier is suggested.

Directory structure

• code: contains various source code used in the talk
• data: data sets
• slides: pdf's of the slides used in the talks
• latex: the latex source code used to produce the slides