Machine Learning Meetup Notes: 2010-04-21

Overview

• Mike S talked about linear regression.
• Overview of linear least squares
• Talked about gradient descent
• Passed around some python code for doing least squares

Details

• Some good books on linear regression:
  • Excellent ebook: http://www-stat.stanford.edu/~tibs/ElemStatLearn/
  • Classic ML Book: http://www.amazon.com/Pattern-Classification-2nd-Richard-Duda/dp/0471056693
  • Another ML Book (passed around in meetup): http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738