|Lecturer||Bachmann, Henrik, Associate Professor|
|Department||G30, 2020 Fall|
|Recommended for:||Undergraduate students majoring in science|
The purpose of this lecture is to give a basic mathematical introduction to machine learning.
Basic knowledge in Linear Algebra and Calculus is helpful. We will also do some programming in Python. Programming knowledge are useful but not necessary since a rough introduction to programming in Python will be part of the course. Motivated 1st-year students can also attend without these prerequisites if they contact the lecturer beforehand. Due to the programming part of the lecture, students should have (access to) a computer/laptop.
September 22, 2022