Machine Learning
2026-2027
40 courses
- 10-202Introduction to Modern AI
- 10-301Introduction to Machine Learning
- 10-315Introduction to Machine Learning (SCS Majors)
- 10-335Art and Machine Learning
- 10-403Deep Reinforcement Learning & Control
- 10-405Machine Learning with Large Datasets (Undergraduate)
- 10-414Deep Learning Systems: Algorithms and Implementation
- 10-417Intermediate Deep Learning
- 10-418Machine Learning for Structured Data
- 10-422Foundations of Learning, Game Theory, and Their Connections
- 10-423Generative AI
- 10-424Bayesian Methods in Machine Learning
- 10-425Introduction to Convex Optimization
- 10-500Senior Research Project
- 10-520Independent Study
- 10-601Introduction to Machine Learning
- 10-605Machine Learning with Large Datasets
- 10-606Mathematical Foundations for Machine Learning
- 10-607Computational Foundations for Machine Learning
- 10-613Machine Learning Ethics and Society
- 10-617Intermediate Deep Learning
- 10-618Machine Learning for Structured Data
- 10-623Generative AI
- 10-625Introduction to Convex Optimization
- 10-643Socio-technical Evaluations of Generative AI
- 10-701Introduction to Machine Learning
- 10-703Deep Reinforcement Learning & Control
- 10-707Advanced Deep Learning
- 10-708Probabilistic Graphical Models
- 10-714Deep Learning Systems: Algorithms and Implementation
- 10-716Advanced Machine Learning: Theory and Methods
- 10-725Optimization for Machine Learning
- 10-726Machine Learning Theory: The Art of Problem Formulation and Theorem Proving
- 10-735Responsible AI
- 10-736Human-AI Complementarity for Decision Making
- 10-743Socio-technical Evaluations of Generative AI
- 10-745Scalability in Machine Learning
- 10-753Deep Learning and GenAI Theory
- 10-777Historical Advances in Machine Learning
- 10-805Machine Learning with Large Datasets
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