Week 1: Quantification of Beliefs

[pdf slides][pdf worksheet]

Carl Henrik Ek

Abstract:

This lecture will provide the background in probability theory that we will make use of during the coming weeks. For many of you this will be things that you have seen before but we will try to provide a slightly different semantic to the purely mathematical concepts that we will use throughout the course.

lecture aims to do a quick introduction to the main building blocks of machine learning and make steps towards making the concepts introduced in the first lecture more mathematically grounded. In addition to the lecture notes there is also a worksheet that provides a more step-by-step walkthrough of the material. You can download the lecture slides here and the worksheet here.