Stanford Online · Education

Stanford Online

You can gain access to a world of education through Stanford Online, the Stanford School of Engineering’s portal for academic and professional education offered by schools and units throughout Stanford University. https://online.stanford.edu/ Our robust catalog of degree programs, credit-bearing education, professional certificate programs, and free and open content is developed by Stanford faculty, enabling you to expand your knowledge, advance your career, and enhance your life. Stanford Online is operated and managed by the Stanford Engineering Center for Global & Online Education (CGOE). CGOE expands access to Stanford teaching and research, working in collaboration with faculty in the School of Engineering and throughout Stanford University to design and deliver extensive global, online, and enterprise education to a global audience.

Episodes

Stanford Seminar - Building the Smartest and Open Virtual Assistant to Protect Privacy - Monica Lam

06 May 2020

1h 12m

Markov Decision Processes 2 - Reinforcement Learning | Stanford CS221: AI (Autumn 2019)

28 Apr 2020

1h 14m

Deep Learning | Stanford CS221: AI (Autumn 2019)

28 Apr 2020

1h 12m

Factor Graphs 2 - Conditional Independence | Stanford CS221: AI (Autumn 2019)

28 Apr 2020

1h 17m

Stanford Webinar - How to Be a Good Boss During Trying Times

Stanford Online

Episodes

Stanford Seminar - Building the Smartest and Open Virtual Assistant to Protect Privacy - Monica Lam

Markov Decision Processes 2 - Reinforcement Learning | Stanford CS221: AI (Autumn 2019)

Deep Learning | Stanford CS221: AI (Autumn 2019)

Factor Graphs 2 - Conditional Independence | Stanford CS221: AI (Autumn 2019)

Stanford Webinar - How to Be a Good Boss During Trying Times

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

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

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

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

Lecture 16 - Independent Component Analysis & RL | Stanford CS229: Machine Learning (Autumn 2018)

Lecture 15 - EM Algorithm & Factor Analysis | Stanford CS229: Machine Learning Andrew Ng -Autumn2018

Lecture 14 - Expectation-Maximization Algorithms | Stanford CS229: Machine Learning (Autumn 2018)

Lecture 13 - Debugging ML Models and Error Analysis | Stanford CS229: Machine Learning (Autumn 2018)

Lecture 11 - Introduction to Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)

Lecture 12 - Backprop & Improving Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)

Lecture 10 - Decision Trees and Ensemble Methods | Stanford CS229: Machine Learning (Autumn 2018)

Lecture 9 - Approx/Estimation Error & ERM | Stanford CS229: Machine Learning (Autumn 2018)

Lecture 8 - Data Splits, Models & Cross-Validation | Stanford CS229: Machine Learning (Autumn 2018)

Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)

Lecture 6 - Support Vector Machines | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)