Machine Learning Flashcards

250+ flashcards I made as an exercise & reference for myself, after from years of ML research, coursework, & independent study. Hopefully other people can benefit from them as well, for study or interview prep!

Topics covered includes: computer science, classical ML, modern deep learning, 2D/3D computer vision, NLP, reinforcement learning, generative models.

Intended Scope and Audience

These flashcards generally assume a good foundation in these topics, and a lot of technical terminology is used. Potential approaches may differ depending on your current experience:

• Already have a good foundation in ML: you can probably use them as-is to review and fill in any missing knowledge gaps

• Newer to ML, this may provide a good overview of what is out there, and I'd suggest also refering to other materials focused on education & learning (see "additional links" below)

Note that some topics are covered more comprehensively/accurately than others -- and because the field is constantly changing, this is not meant to be a definitive resource. There may be errors in these slides, or things that I've missed. If so, feel free let me know!

Changelog

• May 2025 -- Updated with topics in RL, NeRFs, gaussian splatting, generative models, LLMs, and VLMs. Switched to powerpoint due to better equation editing.
• July 2022 -- Initial set of flashcards.

Additional Links & Resources

• http://cs231n.stanford.edu/
• https://genai-handbook.github.io/
• https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ
• https://fullstackdeeplearning.com/spring2021/
• https://huyenchip.com/ml-interviews-book/