The Machine Learning training camp provides participants the mathematical foundation and basic technologies of Machine Learning, beginning with common tools for dimensionality reduction, to current deep learning approaches and reinforcement learning.
The training camp showcases benchmark applications of Machine Learning (ML) and helps you to develop a solid understanding of the tools and how they are used in real applications. If you always had the desire to grasp Machine Learning concepts, our compact format combining research and practical industry experience will help you get an insight into the world of Machine Learning.
If you are curious to understand how Machine Learning can be used in your discipline to improve processes or accelerate research, then this compact two day course is right for you!
Target groups
TUM students or TUM doctoral candidates
Agenda
Module I
- Overview of ML concepts and methods.
- Participants will be able to answer the questions: What is ML? How does it work? How do I benefit from ML?
- Participants will also be able to develop and apply simple ML models.
Modul II
- Participants become familiar with more complex ML models, such as deep learning and reinforcement learning.
- Upon completion of Module II, participants will be able to comprehend advanced ML concepts.