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[D] What is the path to getting a *deep* understanding of machine learning. Deep enough that if you were in one of the top AI labs in the country (Google Brain, Deep Mind, Facebook AI, etc.) you would be able to keep up with your peers? Reading list?

I am a ML engineer in a not super known company. I have a MS. I have aspirations to join a more research-focused team. What is the path to a genius level understanding of ML?

I think I sort of outgrew ML courses. I read research papers on a weekly basis. I always have side projects going on. There are some books I see recommended, The Elements of Statistical Learning , Deep Learning with Python and Machine Learning: a Probabilistic Perspective. I wonder if books like these are the next step for me.

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.