CS480/680 Lecture 13: Support vector machines

CS480/680 Lecture 14: Support vector machines (continued)

CS480/680 Lecture 11: Kernel Methods

CS480/680 Lecture 15: Deep neural networks

Support Vector Machines: All you need to know!

CS480/680 Lecture 10: Multi-layer neural networks and backpropagation

Extra Lecture: Kernelization

16. Learning: Support Vector Machines

CS480/680 Lecture 9: Perceptrons and single layer neural nets

Machine Learning Lecture 14 (Linear) Support Vector Machines -Cornell CS4780 SP17

CS480/680 Lecture 7: Mixture of Gaussians

Support Vector Machines (SVM) Overview and Demo using R

Lecture 14 - Support Vector Machines

CS480/680 Lecture 16: Convolutional neural networks

Support Vector Machines (SVM) - the basics | simply explained

Mod-01 Lec-29 Support Vector Machine

CS480/680 Lecture 8: Logistic regression and generalized linear models

Lecture 6 - Support Vector Machines | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)

CS 480/680 - Lecture 7 - Kernels

Machine Intelligence - Lecture 8 (SOM learning, Support Vector Machines)

CS480/680 Lecture 24: Gradient boosting, bagging, decision forests