This repository contains my lecture notes from graduate school on following topics šš¼
Data Science: 8 cheatsheets
Machine Learning (follows Tom Mitchell's book): 25 pages of notes
Statistics: 9 cheatsheets
Deep Learning: 12 cheatsheets, will upload more
Image Processing (follows digital image processing book): 21 cheatsheets
Data Structures and Algorithms (follows this book by Goodrich): 26 cheatsheets
Most of these notes aren't intended to teach a⦠See the full description on the dataset page:
https://huggingface.co/datasets/merve/my_notes.