MLT: Machine Learning Theory

Welcome to Machine Learning Theory

Lectures

  • Tuesdays 16:10 -- 18:00.

  • 2.35 | Lecture Theatre - Edinburgh Futures Institute (EFI) 

Course description 

To create better, more advanced machine learning models and methods, we need to have a clear and deep understanding of machine learning. This course is intended for students who wish to develop better understanding of machine learning and possibly develop new ML concepts in the future. In the courses, we will learn some fundamental mathematical concepts and techniques that will help you to follow cutting edge research and innovation in machine learning, as well as critically understand their strengths, weaknesses and properties. We will develop better understanding of topics such as neural networks, optimization, statistical learning theory, privacy, fairness and explainability. 

Administrative matters 

See the introduction slides here for organisation details of the course -- exam, coursework, tutorials etc. 

For more details, see the DRPS entry of the course. 

 

 

License
All rights reserved The University of Edinburgh