machine learning University of Illinois, Urbana-Champaign CS446 英文课件.rar （50个子文件） 
machine learning University of Illinois, Urbana-Champaign CS446 英文课件 HW HW1 
cs446.tex 1KB hw1.tex 22KB
exercise1-sol.pdf 126KB hw1-solution.pdf 161KB hw-template.tex 467B
hw1-LPcode.zip 10KB hw1.pdf 137KB hw0-solution.pdf 58KB ONLINE exercise2-sol.pdf 59KB exercise1-sol.pdf 126KB HW6 hw6-2014.pdf 146KB HW2 hw2.pdf 88KB bjlunt2-hw2.zip 5.65MB
data.tar.gz 26KB hw2-solution.pdf 145KB decision-trees.tar.gz 5.17MB t-table.pdf 12KB HW5 hw5fall2014.tex 14KB hw5fall2014.pdf 180KB HW3 HW3_rubric.pdf 295KB hw3-solution.pdf 225KB HW3_code.zip 3KB hw3.pdf 203KB HW4 hw4.tex 8KB hw4-solution.pdf 97KB hw4.pdf 120KB hw0.pdf 44KB lecture 01-LecIntro.pdf 1.2MB 08-LecSvm-opt.pdf 59KB 11-LecDist.pdf 563KB 07-LecMulticlass.pdf 846KB 08-LecSVM.pdf 701KB 02-LecDT.pdf 840KB 03-LecRules.pdf 809KB 06-LecBoosting.pdf 422KB 10-LecSemi+EM.pdf 579KB 04-Lec_p1.pdf 87KB 09-LecBayes-NB.pdf 353KB 09-LecBayes.pdf 240KB 04-Lec_p3.pdf 157KB 12-LecCluster.pdf 802KB 09-LecBayes-NB2.pdf 231KB LR-SVM-slides.pdf 679KB 00-LecIntro.pdf 1.32MB 04-LecOnline-P1.pdf 504KB 04-Lec_p2.pdf 244KB midterm-review.pdf 1.82MB
00-LecIntro.pptx 3.54MB 04-LecOnline-P2.pdf 1.64MB 05-LecColt.pdf 567KB
