ML-foundations

Why we included this project

Jon Krohn's Machine Learning Foundations repo pairs Jupyter notebooks with a structured curriculum covering the math, statistics, and computer science that machine learning builds on. The eight notebooks are organized so later subjects build on earlier material: you can work through the sequence or dip into a subject you already know. That makes it a practical way to get past treating ML libraries as black boxes and actually see why methods like gradient descent and backpropagation work. Everything runs in Google Colab with no local setup, so the barrier to entry is low for both self-directed learners and instructors.