CORNELL CS4780 "Machine Learning for Intelligent Systems"
14 of 25 videos summarized
Cornell class CS4780. Written lecture notes: http://www.cs.cornell.edu/courses/cs4780/2018fa/lectures/index.html Official class webpage: http://www.cs.cornell.edu/courses/cs4780/2018fa/ If you want to take the course for credit and obtain an official certificate, there is now a revamped version (with much higher quality videos) offered through eCornell ( https://tinyurl.com/eCornellML ). Note, however, that eCornell does charge tuition for this version.
51:13Machine Learning Lecture 19 "Bias Variance Decomposition" -Cornell CS4780 SP17
Jul 11, 2018
52:30Machine Learning Lecture 17 "Regularization / Review" -Cornell CS4780 SP17
Jul 11, 2018
46:33Machine Learning Lecture 16 "Empirical Risk Minimization" -Cornell CS4780 SP17
Jul 11, 2018
49:59Machine Learning Lecture 14 "(Linear) Support Vector Machines" -Cornell CS4780 SP17
Jul 11, 2018
39:50Machine Learning Lecture 13 "Linear / Ridge Regression" -Cornell CS4780 SP17
Jul 11, 2018
49:19Machine Learning Lecture 12 "Gradient Descent / Newton's Method" -Cornell CS4780 SP17
Jul 11, 2018
48:33Machine Learning Lecture 10 "Naive Bayes continued" -Cornell CS4780 SP17
Jul 11, 2018
44:28Machine Learning Lecture 8 "Estimating Probabilities from Data: Naive Bayes" -Cornell CS4780 SP17
Jul 11, 2018
48:50Lecture 7 "Estimating Probabilities from Data: Maximum Likelihood Estimation" -Cornell CS4780 SP17
Jul 11, 2018
49:26Lecture 6 "Perceptron Convergence Proof" -Cornell CS4780 SP17
Jul 9, 2018
49:57Lecture 5 "Perceptron" -Cornell CS4780 SP17
Jul 9, 2018
47:43Lecture 4 "Curse of Dimensionality / Perceptron" -Cornell CS4780 SP17
Jul 9, 2018
49:42Lecture 3 "k-nearest neighbors" -Cornell CS4780 SP17
Jul 9, 2018