Machine Learning
Courses
Regression to deep nets, viewed through the optimization that trains them.
Content for this course is still being written. For now, explore the skill map below — every node links to its full page.
Skill map
Each node is a skill; an arrow means "learn this first." Deep-dive links go to the full pages.
Linear Regression…
Least-squares fit via normal equations or QR.
content coming soon
deep dive ↓Linear Regression from Scratch
Logistic Regression…
Sigmoid, cross-entropy, gradient descent.
content coming soon
deep dive ↓Logistic Regression from Scratch
Feature Bases…
When a linear model stops being linear.
content coming soon
deep dive ↓When a Linear Model Stops Being Linear
Surrogate Models…
Learn a cheap stand-in for an expensive simulator.
content coming soon
deep dive ↓Self-Learning Monte Carlo
Symbolic Rule Engines…
Derivations as searchable rewrite state-spaces.
content coming soon
deep dive ↓Symbolic rule-learning engines