I think the best presentation for week 3 was the one by Camen on using topology in image analysis. It was interesting to see how detecting number of holes and the general boundary of the digit could be used for recognizing the digit. He also evaluated the approach on a realistic dataset in the form of MNIST. It might be interesting to see how such an approach based on topology compares with common approaches/classifiers used in machine learning.