Lecture 17: Curve Fitting
recorded by: Massachusetts Institute of Technology, MIT
published: Oct. 29, 2012, recorded: March 2011, views: 2980
released under terms of: Creative Commons Attribution Non-Commercial Share Alike (CC-BY-NC-SA)
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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.
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