I spent a couple months reading deliberately on Artificial Intelligence and Machine Learning and its many off-shoots and applications. After summarizing the books I read and wrangling with the concepts for some time, I have attempted to make a distilled “teacher’s reference guide” or cheat sheet which (hopefully) describes the key terms and ideas in a clear, concise and applicable manner.
*The vast majority of the content is from the books and other resources and not my own words. I’ve simply distilled, compiled, and added a few notes. This is clearly my amateur attempt which I’m sure has many points that experts would refute or disapprove of. Please reach out with any suggestions as I plan to iterate and improve this document over time.
