Stanford CS229 Machine Learning | Spring 2026 | Lecture 2: Supervised Learning Setup

Name: Stanford CS229 Machine Learning | Spring 2026 | Lecture 2: Supervised Learning Setup
Uploaded: 2026-07-29T00:00:00.000Z
Duration: 1 h 18 min 10 s
Description: This Stanford CS 229 lecture introduces supervised learning through linear regression: pick a parametric hypothesis, score it with squared error, and fit it with gradient descent (or the closed-form normal equations)....

Stanford Online · 78:10

This Stanford CS 229 lecture introduces supervised learning through linear regression: pick a parametric hypothesis, score it with squared error, and fit it with gradient descent (or the closed-form normal equations)....

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