| Titel | Zeit | Ort | Dozent |
|---|---|---|---|
| Introduction to Machine Learning (ML) and foundation for Artificial Intelligence (AI) | 21.09.2026 09:00 - 13:00 (Mo) | Online | Dr. Sapna Sharma |
| Introduction to Machine Learning (ML) and foundation for Artificial Intelligence (AI) | 22.09.2026 09:00 - 13:00 (Di) | Online | Dr. Sapna Sharma |
This module provides an introduction to machine learning (ML) with minimal mathematical complexity. It covers the fundamental concepts of supervised and unsupervised learning, illustrated through examples such as linear regression and clustering methods. The module also explores how these ML techniques form the foundation for applications in artificial intelligence (AI).
Some basic understanding about data and clarity about research question?
My style is more towards blended learning and peer-review techniques towards the end of the course.
☒ Beginn der Promotion / Beginning of the doctorate
☒ Während der Promotion / During the doctorate
☒ Endphase der Promotion / End of the doctorate
Basic statistics
Basic knowledge of R
Basic knowledge of Python
No
I am qualified for university level teaching. I understand the psychology and fear of students well and through my training methods help them widen their scientific knowledge.
