For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit:
https://stanford.io/aiThis lecture covers supervised learning and linear regression.
Andrew Ng
Adjunct Professor of Computer Science
To follow along with the course schedule and syllabus, visit:
#andrewng #machinelearning
Chapters:
00:00 Intro
00:45 Motivate Linear Regression
03:01 Supervised Learning
04:44 Designing a Learning Algorithm
08:27 Parameters of the learning algorithm
14:44 Linear Regression Algorithm
18:06 Gradient Descent
33:01 Gradient Descent Algorithm
42:34 Batch Gradient Descent
44:56 Stochastic Gradient Descent