Lecture 20 | Machine Learning (Stanford)

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng discusses POMDPs, policy search, and Pegasus in the context of reinforcement learning.

This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.

Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=A89DCFA6ADACE599

CS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Category:

Education

Tags:

• cience
• math
• engineering
• computer
• technology
• robotics
• reinforcement
• learning
• algorithm
• POMDP
• partially
• observable
• Markov
• decision
• process
• policy
• search
• pegasus

[FungShunWen]

What strikes me as the most shocking thing about this whole class is how few American accents there are in the student body.

[Untitledwiz]

Education at its best - open & free. Thank you Stanford!

[mayimark]

Thanks Andrew! you did a great job!

[Than0sP]

clap! clap! clap!

[geoffreyefloyd]

wish i could read more of whats on the board!

[amightyo]

Çok teşekkürler!!! Many thanks!!! Vielen Dank!!! It's time to work really hard with matlab specifying what I want done!!! and maybe coming out with my own hypothesis. Thanks Stanford!!!