Week 6

Bayesian regression [PDF Lecture slides][Jupyter Lecture slides]

Lab Class

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

To obtain the lab class in jupyter notebook, first open the jupyter notebook. Then paste the following code into the ipython notebook

import urllib.request
urllib.request.urlretrieve('https://raw.githubusercontent.com/lawrennd/mlai2015/master/week6.ipynb', 'week6.ipynb')

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

There is a YouTube video available of me giving this material at the Gaussian Process Road Show in Uganda.

Second half overlaps with the material from this week’s lectures.

Rogers and Girolami Chapter 3: Bayesian Methods Section 3.1-3.3 (pg 95-117) although you haven’t covered the beta distribution.
Sections 1.2.3 (pg 21-24) of Bishop
Sections 1.2.6 (start from just past equ 1.64, pg 30-32) of Bishop
Section 2.3 of Bishop up to top of pg 85 (multivariate Gaussians).
Section 3.3 of Bishop up to pg 159 (pg 152-159). (Bayesian linear regression)
Sections 3.7-3.8 of Rogers and Girolami (pg 122-133).
Section 3.4 of Bishop (pg 161-165).