6.S950 - Agency with AI (Fall 26) - Lecture 7: Outsourced Data

6.390 IntroML (Fall26) - Lecture 9 Transformers

6.S950 - Agency with AI (Fall 26) - Lecture 6: Multi-Agent: The More the Merrier?

6.390 IntroML (Fall26) - Lecture 8 Representation Learning

6.S950 - Agency with AI (Fall 26) - Lecture 5: The Harness

Agency with AI, Lecture 5: The Harness

6.390 IntroML (Fall26) - Lecture 7 Convolutional Neural Networks

6.390 IntroML (Fall26) - Lecture 6 Neural Networks II

6.S950 - Agency with AI (Fall 26) - Lecture 4: The Abstraction Ladder (of Programming)

Agency with AI, Lecture 4: The Abstraction Ladder (of Programming)

6.390 IntroML (Fall26) - Lecture 5 Features and Neural Networks I

6.S950 - Agency with AI (Fall 26) - Lecture 3: Vibe or Spec

Agency with AI, Lecture 3: Vibe or Spec

6.390 IntroML (Fall26) - Lecture 4 Linear Classification

6.S950 - Agency with AI (Fall 26) - Lecture 2: Reading Matters

Agency with AI, Lecture 2: Reading Matters

6.390 IntroML (Fall26) - Lecture 3 Gradient Descent Methods

6.S950 - Agency with AI (Fall 26) - Lecture 1: What This Course Is

6.390 IntroML (Fall26) - Lecture 2 - Regression and Regularization

Lec06 - Representation Learning - AI Educators Pilot

6.390 IntroML (Spring 26) - Lecture 11 Reinforcement Learning

6.390 IntroML (Spring 26) - Lecture 10 Markov Decision Processes

6.390 IntroML (Spring26) - Lecture 9 Transformers

6.390 IntroML (Spring26) - Lecture 8 Representation Learning