anonymzz

I've recently started learning System Design and Distributed Systems. There are a lot of abstract concepts to grasp, and I'm finding it challenging to retain everything. Has anyone tried spaced repetition for this? Does it help with deep understanding, or is it better for rote memorization?

I'm interested in learning the fundamentals of AI and machine learning—especially the core concepts like vectors, linear algebra, and foundational intuition behind how things work.

Can anyone recommend a solid books, article series, or lecture series that covers these topics well? Ideally something beginner-friendly but rigorous.

I am studying distributed computing and struggling to understand how Distributed Hash Tables (DHTs) work. Can you recommend any resources, such as books, articles, or anything else, to help me?