4020225173 Introduction to Machine Learning for Physicist
Digital- & Präsenz-basierter Kurs
- classroom language
- DE
- aims
- Understanding of Concepts and hands-on experience with simple problems. For master students and Bsc students with computing experience.
- requirements
- python
- structure / topics / contents
- Gliederung:
Basic Concepts
Boosted Decision Trees
Neural Networks
Autoencoders
Learning Algorithms
Advanced Concepts:
Adversarial learning, generative adversarial networks,
- assigned modules
-
P8g
P22.g
- amount, credit points; Exam / major course assessment
- 4 SWS, 6 SP/ECTS (Arbeitsanteil im Modul für diese Lehrveranstaltung, nicht verbindlich)
Portfolio of programs