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

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

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

engineering-council-talk

Lec10 - Reinforcement Learning - AI Educators Pilot

6.390 IntroML (Spring26) - Lecture 7 Convolutional Neural Networks

6.390 IntroML (Spring26) - Lecture 6 Neural Networks II

6.390 IntroML (Spring26) - Lecture 5 Features and Neural Networks I

Lec03 - Domain Shift - AI Educators Pilot

6.390 IntroML (Spring26) - Lecture 4 Linear Classification

6.390 IntroML (Spring 26) - Lecture 3 Gradient Descent Methods

6.390 IntroML (Spring26) - Lecture 2 Regularization and Cross-validation

6.390 IntroML (Spring26) - Lecture 1 Intro and Linear Regression

expanding-horizons-talk