第17讲:曲线拟合Lecture 17: Curve Fitting |
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课程网址: | http://videolectures.net/mit600SCs2011_guttag_lec17/ |
主讲教师: | John Guttag |
开课单位: | 麻省理工学院 |
开课时间: | 2012-10-29 |
课程语种: | 英语 |
中文简介: | 本讲座是关于如何使用计算来帮助理解实验数据。它讨论了使用线性回归拟合曲线到数据,并引入了确定系数作为拟合紧密度的度量。涵盖的主题:数组,曲线拟合,numpy,pylab,最小二乘拟合,预测。 |
课程简介: | 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. |
关 键 词: | 线性回归; 拟合曲线; 最小二乘拟合 |
课程来源: | 视频讲座网 |
最后编审: | 2019-05-22:lxf |
阅读次数: | 74 |