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A free MIT course about deep learning, 2026 edition: Here, MIT CSAIL researcher Alexander Amini discusses the differences between supervised, unsupervised, & reinforcement learning approaches (Lecture 5).

MIT CSAIL

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17,792 Aufrufe • vor 3 Monaten •via X (Twitter)

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Lecture 5’s breakdown of the supervision spectrum is a clean refresher—especially how it frames reinforcement learning as the hardest to scale in production.

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