Machine Learning and Data Science
Lecturer: Wolfgang Utschick with Amar Kasibovic
Target Audience: Bachelor Management and Technology
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 2024/25
| Monday | 9:45 – 12:15 | online |
| First lecture: Monday, 2024-10-14 |
Description
The module is designed for non-engineering students (in particular students in Management and Technology) who aim at understanding the fundamental principles and concepts of modern information transmission and processing. It consists of lectures, exercise courses, and self-study.
Contents
- Paradigms in data preparation
- Curse of dimensionality
- Supervised and unsupervised learning
- Principal component analysis
- Clustering algorithms
- Classification methods
- Regression methods
- Learning and generalization
- Deep neural networks