Lecture 2 - An Application of Supervised Learning - Autonomous Deriving

author: Andrew Ng, Stanford University
published: May 18, 2009,   recorded: April 2009,   views: 12021
released under terms of: Creative Commons Attribution Non-Commercial (CC-BY-NC)
Categories

See Also:

Download Video Download stanfordcs229f08_ng_lec02_01.flv (Video 211.4 MB)

Download Video Download stanfordcs229f08_ng_lec02_01.wmv (Video 656.8 MB)


Help icon Streaming Video Help

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Bibliography

Description

An Application of Supervised Learning - Autonomous Deriving, ALVINN, Linear Regression, Gradient Descent, Batch Gradient Descent, Stochastic Gradient Descent (Incremental Descent), Matrix Derivative Notation for Deriving Normal Equations, Derivation of Normal Equations

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: