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Asking as someone who does not work with AI but has taken a couple of courses in ML:

What new things will I be able to do after this course?

(in a practical sense, the technical description on the course page I can read myself)

At glance, It looks like ongoing research of Multi-Task and Meta-Learning will be discussed. Some new tricks on the architecture of NN, Few new methods to train, and some theoretical setting of the area. I will be looking forward to seeing whole series. Maybe share some notes or summary of videos.

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