✕ Clear filters
2,001 lessons

Browse Lessons

Curated from top practitioners. Filtered, not flooded.

All ▶ YouTube 200,964📚 Coursera 18,180🎤 TED 1
The Power of Free Knowledge
AI News & Updates
The Power of Free Knowledge
MIT OpenCourseWare Intermediate 3w ago
MIT 24-Hour Challenge 2026
AI Safety & Ethics
MIT 24-Hour Challenge 2026
MIT OpenCourseWare Beginner 3w ago
From Bold Idea to Global Legacy: 25 Years of MIT OpenCourseWare Live Webcast
AI News & Updates
From Bold Idea to Global Legacy: 25 Years of MIT OpenCourseWare Live Webcast
MIT OpenCourseWare Beginner 1mo ago
Misinformation, AI, & Science Photography
AI News & Updates
Misinformation, AI, & Science Photography
MIT OpenCourseWare Beginner 1mo ago
For MIT OpenCourseWare's 25th anniversary, we want to hear your voice.
UI/UX Design
For MIT OpenCourseWare's 25th anniversary, we want to hear your voice.
MIT OpenCourseWare Beginner 1mo ago
Seven Questions About Tariffs That Everyone Should Know
RAG & Vector Search
Seven Questions About Tariffs That Everyone Should Know
MIT OpenCourseWare Beginner 1mo ago
Generative AI and Science Photography
Large Language Models
Generative AI and Science Photography
MIT OpenCourseWare Beginner 1mo ago
Lec 05. Architectures: Graphs
ML Fundamentals
Lec 05. Architectures: Graphs
MIT OpenCourseWare Beginner 1mo ago
Lec 09. Hacker's Guide to Deep Learning
ML Fundamentals
Lec 09. Hacker's Guide to Deep Learning
MIT OpenCourseWare Beginner 1mo ago
Lec 16. Generative Models: Conditional Models
ML Fundamentals
Lec 16. Generative Models: Conditional Models
MIT OpenCourseWare Beginner 1mo ago
Lec 15. Generative Models: Representation Learning Meets Generative Modeling
ML Fundamentals
Lec 15. Generative Models: Representation Learning Meets Generative Modeling
MIT OpenCourseWare Beginner 1mo ago
Lec 04. Architectures: Grids
ML Fundamentals
Lec 04. Architectures: Grids
MIT OpenCourseWare Beginner 1mo ago
Lec 02. How to Train a Neural Net
ML Fundamentals
Lec 02. How to Train a Neural Net
MIT OpenCourseWare Beginner 1mo ago
Lec 24. Inference Methods for Deep Learning
Prompt Engineering
Lec 24. Inference Methods for Deep Learning
MIT OpenCourseWare Beginner 1mo ago
Lec 17. Generalization: Out-of-Distribution (OOD)
ML Fundamentals
Lec 17. Generalization: Out-of-Distribution (OOD)
MIT OpenCourseWare Beginner 1mo ago
Lec 01. Introduction to Deep Learning
ML Fundamentals
Lec 01. Introduction to Deep Learning
MIT OpenCourseWare Beginner 1mo ago
Lec 20. Scaling Laws
ML Fundamentals
Lec 20. Scaling Laws
MIT OpenCourseWare Beginner 1mo ago
Lec 13. Representation Learning: Theory
ML Fundamentals
Lec 13. Representation Learning: Theory
MIT OpenCourseWare Beginner 1mo ago
Lec 10. Architectures: Memory
ML Fundamentals
Lec 10. Architectures: Memory
MIT OpenCourseWare Beginner 1mo ago
Lec 11. Representation Learning: Reconstruction-Based
ML Fundamentals
Lec 11. Representation Learning: Reconstruction-Based
MIT OpenCourseWare Beginner 1mo ago
Lec 14. Generative Models: Basics
ML Fundamentals
Lec 14. Generative Models: Basics
MIT OpenCourseWare Beginner 1mo ago
Lec 03. Approximation Theory
ML Fundamentals
Lec 03. Approximation Theory
MIT OpenCourseWare Beginner 1mo ago
Lec 12. Representation Learning: Similarity-Based
ML Fundamentals
Lec 12. Representation Learning: Similarity-Based
MIT OpenCourseWare Beginner 1mo ago
Lec 19. Transfer Learning: Data
Prompt Engineering
Lec 19. Transfer Learning: Data
MIT OpenCourseWare Beginner 1mo ago
Lec 23. Metrized Deep Learning
ML Fundamentals
Lec 23. Metrized Deep Learning
MIT OpenCourseWare Advanced 1mo ago
Lec 07. Scaling Rules for Optimization
ML Fundamentals
Lec 07. Scaling Rules for Optimization
MIT OpenCourseWare Beginner 1mo ago
Lec 21. Language Models
Prompt Engineering
Lec 21. Language Models
MIT OpenCourseWare Beginner 1mo ago
Lec 08. Architectures: Transformers
Large Language Models
Lec 08. Architectures: Transformers
MIT OpenCourseWare Beginner 1mo ago
Lec 06. Generalization Theory
ML Fundamentals
Lec 06. Generalization Theory
MIT OpenCourseWare Beginner 1mo ago
PyTorch Tutorial
ML Fundamentals
PyTorch Tutorial
MIT OpenCourseWare Beginner 1mo ago
Lec 18. Transfer Learning: Models
ML Fundamentals
Lec 18. Transfer Learning: Models
MIT OpenCourseWare Beginner 1mo ago
Lecture 08: Local Public Goods and Fiscal Federalism
RAG & Vector Search
Lecture 08: Local Public Goods and Fiscal Federalism
MIT OpenCourseWare Intermediate 2mo ago
Lecture 04: Externalities in Practice II
RAG & Vector Search
Lecture 04: Externalities in Practice II
MIT OpenCourseWare Intermediate 2mo ago
Lecture 15: Health Care III, Redistribution
RAG & Vector Search
Lecture 15: Health Care III, Redistribution
MIT OpenCourseWare Intermediate 2mo ago
Lecture 14: Health Care II
RAG & Vector Search
Lecture 14: Health Care II
MIT OpenCourseWare Intermediate 2mo ago
Lecture 11: Social Security
RAG & Vector Search
Lecture 11: Social Security
MIT OpenCourseWare Intermediate 2mo ago
Lecture 07: Political Economy
RAG & Vector Search
Lecture 07: Political Economy
MIT OpenCourseWare Intermediate 2mo ago
Lecture 03: Externalities in Theory & Practice
RAG & Vector Search
Lecture 03: Externalities in Theory & Practice
MIT OpenCourseWare Advanced 2mo ago
Lecture 05: Public Goods Theory, Optimality, and Pricing
RAG & Vector Search
Lecture 05: Public Goods Theory, Optimality, and Pricing
MIT OpenCourseWare Advanced 2mo ago
Lecture 22: Wealth Taxation
RAG & Vector Search
Lecture 22: Wealth Taxation
MIT OpenCourseWare Intermediate 2mo ago
Lecture 17: Redistribution and Welfare, Taxation Overview
RAG & Vector Search
Lecture 17: Redistribution and Welfare, Taxation Overview
MIT OpenCourseWare Beginner 2mo ago
Lecture 02: Externalities in Theory
RAG & Vector Search
Lecture 02: Externalities in Theory
MIT OpenCourseWare Advanced 2mo ago
Lecture 18: Overview of Taxation and Tax Base, Tax Incidence
RAG & Vector Search
Lecture 18: Overview of Taxation and Tax Base, Tax Incidence
MIT OpenCourseWare Beginner 2mo ago
Lecture 10: Social Insurance Theory
RAG & Vector Search
Lecture 10: Social Insurance Theory
MIT OpenCourseWare Advanced 2mo ago
Lecture 24: Corporate Taxation and Tax Reform
RAG & Vector Search
Lecture 24: Corporate Taxation and Tax Reform
MIT OpenCourseWare Beginner 2mo ago
Lecture 06: Cost/Benefit Analysis
RAG & Vector Search
Lecture 06: Cost/Benefit Analysis
MIT OpenCourseWare Intermediate 2mo ago
Lecture 19: Tax Incidence and Tax Efficiency
RAG & Vector Search
Lecture 19: Tax Incidence and Tax Efficiency
MIT OpenCourseWare Intermediate 2mo ago
Lecture 13: Health Care I
RAG & Vector Search
Lecture 13: Health Care I
MIT OpenCourseWare Intermediate 2mo ago