Kiru Lab / Classical Machine Learning
Learning From Data
What a model is, how fitting works, and gradient descent built by hand.
In this module you will
- State the three components of any supervised learning setup
- Fit a linear model in closed form and by descent
- Diagnose a learning rate from a loss curve alone
What a Model Actually Is
Three components: a family of functions, a loss, and a search procedure. Nothing else.
Concept · 25m
Linear Regression From Scratch
The smallest complete model. Build it twice — closed form and iterative — and compare.
Code Walkthrough · 40m
Gradient Descent, By Hand
One update rule powers the whole field. Feel it on a surface you can see.
Hands-On Lab · 35m