Week 1: Introduction

Lectures

  • Overview Slides from 2020 – out of date for logistics!, notes for 2021
  • Introduction Slides
    • Bishop 1.1; 1.2; 1.3; 2.1; 2.3;
    • Bishop Exercises 1.1; 1.2; 1.4; 1.5; 1.6; 1.7; 1.9; 1.11; 1.12; 2.1; 2.3; 2.4; 2.5; 2.6; 2.7; 2.8; 2.9; 2.14; 2.17; 2.18; 2.19; 2.21; 2.22; 2.24; 2.29; 2.30; 2.34; 2.35;

Tutorials

There are no lab sessions in the first week. However, we recommend you complete the worksheet below in your own time. The easiest way to get started is by installing Anaconda Python 3. Python 2 will not work. The worksheets themselves are in Jupyter Notebook format. If you have any issues ask on Piazza, or ask a tutor during your lab session.

Bonus Background Material

  • 2 page overview of machine learning.
  • Deisenroth, Faisal, and Ong, Mathematics for Machine Learning. To be published by Cambridge University Press. Draft available online