Lecture 1 | Machine Learning (Stanford)
Stanford · 11 HN recommendations
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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 HN recommends it: Recommended as the rigorous, math-heavy original course, deeper than the Coursera version, for learning machine learning.
“I'd suggest going back to the original youtube[1] and course materials[2].” Read on HN ↗