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Mathematical Foundations of Machine Learning [MA4801]

Summer 2021

Prof. Dr. Michael Wolf

Lecturer: Prof. Dr. Michael Wolf
Assistant: Markus Hasenöhrl
Tutor: Tim Moebus
Lecture: Monday 10:15  
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News

Lectures and exercise classes will take place online. Video lectures and lecture notes will be provided. Further material and information can be found on the Moodle page.

Content

The course will provide an introduction to the mathematical foundations of learning theory, neural networks, and kernel methods.

Lecture notes

... will be provided and updated once a week.

Prerequisites

Basic knowledge in linear algebra, analysis and probability theory is required. For the discussion of kernel methods, we will need some elementary Hilbert space theory.

Literature

There are many good books on the topic. Recent examples with a focus on mathematical aspects are: Among the classic books with a focus on mathematical results are: