This video was recorded at 6.00SC Introduction to Computer Science and Programming, Spring 2011 . 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.
You just viewed Lecture 17: Curve Fitting
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