For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3GrSkjF

Topics: Features and nonlinearity, Neural networks, nearest neighbors
Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor Stanford University
http://onlinehub.stanford.edu/

Associate Professor Percy Liang
Associate Professor of Computer Science and Statistics (courtesy)
https://profiles.stanford.edu/percyl...

Assistant Professor Dorsa Sadigh
Assistant Professor in the Computer Science Department & Electrical Engineering Department
https://profiles.stanford.edu/dorsas...

To follow along with the course schedule and syllabus, visit:
https://stanfordcs221.github.io/autu...

0:00 Introduction
0:15 Announcements
1:27 Framework
2:13 Review: optimization problem
2:44 Review: loss functions
6:59 A regression example
14:34 Review: optimization algorithms
18:01 Two components
22:59 Feature vector representations
25:00 Hypothesis class
28:01 Example: beyond linear functions
29:18 Feature extraction + learning
35:13 Linear in what?
38:36 Geometric viewpoint
49:19 Summary so far
50:01 Roadmap
50:46 Motivation
52:48 Decomposing the problem
55:51 Learning strategy
57:11 Gradients
59:34 Neural networks