Software, electronics and anything else

Introduction to Machine Learning / Deep Learning

MECH guest lecture

Last week, I was asked to give a guest lecture to students of MECH 383 at McGill University on deep learning and machine learning. I created a slide deck for this lecture, as I could not find anything online that I liked or felt comfortable using given the requirements, which was to introduce these rather complex topics to students with limited computer science experience in a fairly short amount of time. Given this introduction, students would at minimum have a basic understanding of some key concepts if they chose to pursue the topic further in the future.

I opted to use a number of slides from several prominent professors when putting this together, as they are of higher quality than I can produce in the limited time available to me. My thanks to them for allowing me to use their material:

  • Prof. Fei-Fei Li, Ranjay Krishna and Danfei Xu
  • Prof. Sergey Levine
  • Prof. Volodymyr Kuleshov

I would also like to thank several of my friends for providing feedback or resources that helped put this together.

  • Nazanin Mohammadi Sepahvand
  • Ibtihel Amara
  • Raghav Mehta
  • Farzaneh Askari
  • Olivier St-Martin Cormier

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