Seminar: All about Machine Learning - Milestones, methods and pittfalls

This seminar gives you the opportunity to work into a Machine Learning or Data Science related topic and present it. The following topics are chosen since they represent milestones in or on the way to ML or general limitations of learning, but students are welcome to propose their own topics.

• The first ever artificial neuron (A logical calculus of the ideas immanent in nervous activity, 1943 https://link.springer.com/article/10.1007/BF02478259)
• No free lunch theorem (https://www.cs.ubc.ca/~hutter/earg/papers07/00585893.pdf)
• The Touring test (https://www.hec.edu/sites/default/files/documents/Computing%20Machinery%20and%20Intelligence%20by%20Alan%20Turing.pdf)
• The curse of dimensionality
• The Hopfield network and the way to protein structure prediction with Alphafold (https://www.nature.com/articles/s41746-024-01345-9)