u/Individual_Bear8603

Hey everyone, I’m currently in my pre-master’s stage and planning to study mathematics more deeply for AI and research. However, I feel a bit lost about what topics are the most important to focus on in order to become better at reading papers and doing research. My current level is around the content covered in books like Mathematics for Machine Learning, but I’m not sure what should come next or how to structure my learning path. I would really appreciate any guidance on: The most important math topics for AI/ML research What level of depth is actually needed Good books/resources after the basics How researchers usually build mathematical intuition Thank you!