This is Part 2 of a four-part series that breaks up a talk that I gave at the Toronto AI Meetup. Part 1 was all about the foundational concepts of machine learning. In this part I get into more advanced machine learning concepts. These include:
Hope you enjoy Part 2! As always feel free to send any feedback or add any comments below if you have any questions.
The AI Show's Favorite links: