INF3151 - Introduction to Machine Learning
(“Grundlagen des maschinellen Lernens”)
Prof. Dr. Zeynep Akata, Dr. Almut Sophia Koepke, Dr. Stephan Alaniz.
Machine learning is a rapidly growing field that already impacts our daily life. The aim of this course is to provide an introduction to machine learning. We will cover various topics, such as:
- Supervised Learning
- Bayesian Decision Theory
- Parametric Methods
- Multivariate Methods
- Dimensionality Reduction
- Nonparametric Methods
- Decision Trees
- Linear Discrimination
- Neural Networks
- Experimental Design and Analysis
This is a Bachelor's level course, awarding 6 LP.
The course will follow the book "Introduction to Machine Learning, fourth edition" by Ethem Alpaydin.
The schedule of the course is as follows:
- April 19th, 12-2pm
- April 26th, 12-2pm
- May 3rd, 12-2pm
- May 10th, 12-2pm
- May 17th, 12-2pm
- May 24th, 12-2pm
- June 7th, 12-2pm
- June 14th, 12-2pm
- June 21st, 12-2pm
- June 28th, 12-2pm
- July 5th, 12-2pm
- July 12th, 12-2pm
- July 19th, 12-2pm
The lectures will take place in person in room N7, Morgenstelle.
Each lecture will be accompanied by exercise classes.
Please refer to ILIAS for up-to-date information.
Registration and requirements
The registration is open via ILIAS.