Machine Learning and Data Science

Lecturer: Wolfgang Utschick with Amar Kasibovic

Target Audience: Bachelor, 3. Semester

Language: English

Next Exam: tbd (no responsibility is taken for the correctness of this information)

Additional Information: TUMonline and Moodle

Lectures/Exercises in Winter Semester 2025/26

Tuesday	9:00 – 12:00	online
First lecture: Tuesday, 2025-10-14

Contents

The lecture covers the following topics:
- the categorization of typical machine learning problems into classification and regression tasks
- linear regression and maximum-likelihood tests
- the connection between linear tests and support vector machines and their generalization
- multilayer perceptrons and neural networks
- gradient-based learning
- k-means clustering
- principal component analysis
- autoencoding techniques.