Ask HN: What materials to consume to gain knowledge about cutting edge ML?
I am a computer science researcher, but do not work in ML. I am interested in gaining a deeper understanding of the cutting edge work being done.
I have taken a graduate level Applied Machine learning course that covered a variety of topics from a cursory theoretical level and then completed programming assignments based on those topics. We covered fundamentals, neural networks, and some selected topics (adversarial ML, privacy attacks, explainable ML, etc.).
If I had a free day to consume materials, what you recommend I read, watch, and play around with to gain a level of understanding past what was covered in this course (with the hope of touching upon the cutting edge of today)?
I have taken a graduate level Applied Machine learning course that covered a variety of topics from a cursory theoretical level and then completed programming assignments based on those topics. We covered fundamentals, neural networks, and some selected topics (adversarial ML, privacy attacks, explainable ML, etc.).
If I had a free day to consume materials, what you recommend I read, watch, and play around with to gain a level of understanding past what was covered in this course (with the hope of touching upon the cutting edge of today)?