Machine Learning Meetup Notes: 2010-04-21

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(Created page with '=== 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…')
 
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**Classic ML Book: http://www.amazon.com/Pattern-Classification-2nd-Richard-Duda/dp/0471056693
 
**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
 
**Another ML Book (passed around in meetup): http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738
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*Python Linear Least Squares Fitting Routine: http://docs.scipy.org/doc/numpy/reference/generated/numpy.linalg.lstsq.html

Revision as of 11:32, 22 April 2010

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

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