GitLab

Here we will share additional information about data driven engineering, methods we explored in the lecture and related references. You may consider this section as a dynamic, modest bibliography!

• Recommended resources

...

Below you may find posts, articles, notes, links to external sources on specific topics we cover in the lecture.

DDE 1: ML for Dynamical systems

• Complex Systems
• Ode to Learning
• Statistics
• Regression
• Classification
• Clustering
• Dimensionality Reduction
• Outlier Detection
• Neural networks
• Time series analysis I
• Time series analysis II
• Autoencoders
• Generative learning

DDE 2: Advanced topics

• Evolutionary learning

...

Highlighted miscellaneous topics

• AI landscape in EU & Germany
• Selected talks
• ML Implementations including Arduino

Visit miscellaneous topics for more.