|Location||University of Amsterdam|
|Weeks||37 - 51|
|Lecture||Wednesday, 14:00 - 16:45|
|Links||Course page (requires login)|
Machine learning is one of the fastest growing areas of science, with far-reaching applications. In this course we focus on the fundamental ideas, theoretical frameworks, and rich array of mathematical tools and techniques that power machine learning. The course covers the core paradigms and results in machine learning theory with a mix of probability and statistics, combinatorics, information theory, optimization and game theory.
During the course you will learn to
The course will be self-contained.
Rules about Homework / Exam
The grade will be composed as follows.