Lecture 17: Curve Fitting
recorded by: Massachusetts Institute of Technology, MIT
published: Oct. 29, 2012, recorded: March 2011, views: 2976
released under terms of: Creative Commons Attribution Non-Commercial Share Alike (CC-BY-NC-SA)
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
This lecture is about how to use computation to help understand experimental data. It talks about using linear regression to fit a curve to data, and introduces the coefficient of determination as a measure of the tightness of a fit.
Topics covered: Arrays, curve fitting, numpy, pylab, least squares fit, prediction.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !