Lecture 19 - Reward Model & Linear Dynamical System | Stanford CS229: Machine Learning (Autumn 2018)

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-au...

Join Today
RL Debugging and Diagnostics | Stanford CS229: Machine Learning Andrew Ng - Lecture 20 (Autumn 2018)
▶︎

RL Debugging and Diagnostics | Stanford CS229: Machine Learning Andrew Ng - Lecture 20 (Autumn 2018)

Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | The GPU Economy
▶︎

Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | The GPU Economy

Lecture 17 - MDPs & Value/Policy Iteration | Stanford CS229: Machine Learning Andrew Ng (Autumn2018)
▶︎

Lecture 17 - MDPs & Value/Policy Iteration | Stanford CS229: Machine Learning Andrew Ng (Autumn2018)

Lecture 10 - Introduction to Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)
▶︎

Lecture 10 - Introduction to Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)

Einstein's General Theory of Relativity | Lecture 1
▶︎

Einstein's General Theory of Relativity | Lecture 1

Lecture 9 - Decision Trees and Ensemble Methods | Stanford CS229: Machine Learning (Autumn 2018)
▶︎

Lecture 9 - Decision Trees and Ensemble Methods | Stanford CS229: Machine Learning (Autumn 2018)

Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Infrasctructure, Enterprise AI, SaaS
▶︎

Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Infrasctructure, Enterprise AI, SaaS

Stanford CS229: Machine Learning Lecture 1 - Andrew Ng (Autumn 2018)
▶︎

Stanford CS229: Machine Learning Lecture 1 - Andrew Ng (Autumn 2018)

Last Lecture Series: “How to Win Without Crushing Your Soul” - Graham Weaver
▶︎

Last Lecture Series: “How to Win Without Crushing Your Soul” - Graham Weaver

The Scariest Chart in Electrical Engineering
▶︎

The Scariest Chart in Electrical Engineering

Machine Learning Lecture 26 "Gaussian Processes" -Cornell CS4780 SP17
▶︎

Machine Learning Lecture 26 "Gaussian Processes" -Cornell CS4780 SP17

Lecture 11 - Backprop & Improving Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)
▶︎

Lecture 11 - Backprop & Improving Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)

Deep Work - Focus Music for High Productivity - Lofi Study Beats & Concentration Ambience
▶︎

Deep Work - Focus Music for High Productivity - Lofi Study Beats & Concentration Ambience

How To Think SO Clearly People Assume You're Brilliant
▶︎

How To Think SO Clearly People Assume You're Brilliant

Nobody Explained the Schrödinger Equation Like THIS!
▶︎

Nobody Explained the Schrödinger Equation Like THIS!

Lecture 18 - Continous State MDP & Model Simulation | Stanford CS229: Machine Learning (Autumn 2018)
▶︎

Lecture 18 - Continous State MDP & Model Simulation | Stanford CS229: Machine Learning (Autumn 2018)

Lecture 12 - Debugging ML Models and Error Analysis | Stanford CS229: Machine Learning (Autumn 2018)
▶︎

Lecture 12 - Debugging ML Models and Error Analysis | Stanford CS229: Machine Learning (Autumn 2018)

11. Introduction to Machine Learning
▶︎

11. Introduction to Machine Learning

Reinforcement Learning: Hidden Theory and New Super-Fast Algorithms
▶︎

Reinforcement Learning: Hidden Theory and New Super-Fast Algorithms