4020215158 Introduction to Machine Learning for Physicist
Digital- & Präsenz-basierter Kurs
- Aims
- Understanding of Concepts and hands-on experience with simple problems
- 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