Really nice seminar and an excellent overview on the topic. I wish it would have been more attended especially by those who have been on the core machine learning courses, since there was a huge difference in quality between this one and a previous one related to reinforcement learning, which was far too theoretical.
Comments for improvement:
I think that the combination of theory and practice is quite right. Probably a bit more "code" examples and snippets in the slides would be useful for people to understand what goes one when we move into the coding part.
I really liked the graphical representations about concept drift in the notebooks yesterday. Probably it would be nice to think about how to represent the datasets that have been used today as well, since the graphical representations always help.
You can tell Alessio that he is a good presenter, indeed. It reminds me a lot to how Carlos Badenes, from my side, presents (although on NLP and related topics, as you know).
Really nice seminar and an excellent overview on the topic. I wish it would have been more attended especially by those who have been on the core machine learning courses, since there was a huge difference in quality between this one and a previous one related to reinforcement learning, which was far too theoretical. Comments for improvement: