text: Week 1
  Uncertainty and Probability
  More Machine Learning Motivation
  Neil’s Inaugural lecture is available here.
  Probability Review
  If you feel your basic probability needs brushing up, you might want to watch this lecture from 2012-13. It covers basic concepts of probability.
  Reading for Probability Review
  See also appendix of lecture notes below.
  - Bishop: pg 12-17
  - Bishop: Section 1.6 & 1.6.1, skip material on pg 50-51
  Exercise
  - Bishop: Exercise 1.3
  Lecture Notes
  Uncertainty and Probability Lecture Slides.
  Reading for Week 1
  - Rogers and Girolami: Chapter 2 up to page 62
  - Bishop: Section 1.2.1 (pg 17-19)
  - Bishop: Section 1.2.2 (pg 19-20)
  - Bishop: Part of Section 1.2.4 (pg 24-25)
  - Bishop: Rest of Section 1.2.4 (pg 26-28, don’t worry about material on bias)
  Exercises for Week 1
  - Bishop: Exercise 1.7 & 1.8 (look at and understand them - don’t need to recreate it)
  - Bishop: Exercise 1.9: Do it.
  Lab Class
  Probabilities with Python and the iPython Notebook.
  The notebook for the lab class can be downloaded from here.
  To obtain the lab class in ipython notebook, first open the ipython notebook. Then paste the following code into the ipython notebook
  import urllib urllib.urlretrieve('', 'MLAI_lab1.ipynb')
  You should now be able to find the lab class by clicking
  File->Open on
  the ipython notebook menu.
  Solutions for the lab class can be downloaded from this notebook here.
  Additional Material: Lecture from 2012/13 on Maximum Likelihood
  - Maximum Likelihood Lecture Slides\.