Stanford Machine Learning - Lecture 2
This lecture covers:
Stanford Machine Learning - Lecture 1
This first lecture starts out with some logistics for the class. The real material starts at about [31:40], but I’d recommend watching it all anyway because he does give you a feel for his goals for the class, as well as mention some applications of machine learning in use today. The material for this lecture is just to provide you an overview of the major topics that the course will cover.
Stanford Machine Learning Course
Stanford’s Machine Learning course taught by professor Andrew Ng has been made freely available on the web through two sources.
UCF Lecture 6 - Optical Flow
The following post contains my notes on lecture 6 of Dr. Shah’s computer vision course:
Canny Edge Detector
The following are my notes on part of the Edge Detection lecture by Dr. Shah: Lecture 03 – Edge Detection