justforfunc #38: Linear Regression with Gradient Descent (ML4G #2)

Why watch

A Go programming tutorial demonstrating how to evaluate linear regression models using mean squared error and find optimal parameters via gradient descent. The video walks through implementing gradient descent from scratch using the gonum numerical computing library, covering parameter optimization of slope and intercept weights.