Lecture 1 | Machine Learning (Stanford)

What this video covers

The first lecture of Andrew Ng's Stanford CS229 Machine Learning course, giving an overview of the course. It introduces supervised and unsupervised learning, learning theory and reinforcement learning.

Why it surfaced in Hacker News

Recommended as the rigorous, math-heavy original course, deeper than the Coursera version, for learning machine learning.

Recommendation context

Short excerpts from positive mentions. Open the source to read the full Hacker News discussion.

“I'd suggest going back to the original youtube[1] and course materials[2].”

“Stanford class on machine learning by Andrew Ng, 20 lectures.”

“You can also look at Andrew Ng's video lectures”