《11.Eight More Classic Machine Learning Algorithms》.pdf

Eight more Classic Machine Learning Note to other teachers and users of these algorithms slides. Andrew would be delighted if you found this source material useful in giving your own lectures. Feel free to use these slides verbatim, or to modify them to fit your own needs. PowerPoint originals are Andrew W. Moore available. If you make use of a significant portion of these slides in your own lecture, please include this message, or the Associate Professor following link to the source repository of Andrew’s tutorials: /~awm/tutorials . School of Computer Science Comments and corrections gratefully received. Carnegie Mellon University /~awm awm@ 412-268-7599 Copyright © 2001, Andrew W. Moore Oct 29th, 2001 8: Polynomial Regression So far we’ve mainly been dealing with linear regression X1 X2 Y X = 3 2 y= 7 3 2 7 1 1 3 1 1 3 : : : : : : x =(3,2).. y =7.. Z= 1 1 1 3 2 y= 7 1 1 1 3 : : T -1 T : b =(Z Z) (Z y) z =(1,3,2).. y =7.. 1 1 yest = b + b x + b x