Week 9: Classification

Lecture Notes

Lecture slides

Lab Class

The notebook for the lab class can be downloaded from here.

import urllib
urllib.urlretrieve('https://raw.githubusercontent.com/SheffieldML/notebook/master/lab_classes/machine_learning/week9.ipynb', 'week9.ipynb')

You should now be able to find the lab class by clicking File->Open on the ipython notebook menu.

Reading

• Chapter 5 of Rogers and Girolami up to Section 5.2.2 but not including 5.2.2.3 (pp 169-182).

Learning Outcomes Week 9

• Understand the concept of a Bernoulli trial and the form of the Bernoulli distribution.
• Perform maximum likelihood in the Bernoulli distribution.
• Understand the principles and assumptions underlying naive Bayes.
• Be able to develop the joint distributions and the conditional distributions for naive Bayes.
• Be able to apply naive Bayes to simple data sets.

This document last modified Tuesday, 11-Nov-2014 08:10:41 UTC