Ali Ghodsi, Lec 11: Hard margin Support Vector Machine (svm)

Lec [4,1]: Deep Learning, Sum-Product Networks

Ali Ghodsi, Lec 12: Soft margin Support Vector Machine (svm)

Ali Ghodsi Lec 9, Regularization, Hard Margin SVM

30. Linear Transformations and Their Matrices

Gradient Descent for Support Vector Machines and Subgradients

Ali Ghodsi, Lec 1: Principal Component Analysis

Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)

17. Orthogonal Matrices and Gram-Schmidt

Ali Ghodsi Lec 10, SVM, Kernel SVM

16. Learning: Support Vector Machines

Ali Ghodsi, Lec [7], Deep Learning , Restricted Boltzmann Machines (RBMs)

Ali Ghodsi, Lec 2: Machine learning. classification, Linear and quadrtic discriminant analysis

Mathematics of SVM | Support Vector Machines | Hard margin SVM

6. Monte Carlo Simulation

Ali Ghodsi, Lec 3: QDA, Principal Component Analysis (PCA)

14. Orthogonal Vectors and Subspaces

Ali Ghodsi, Lec1. Machine Learning, Introduction

AliGhodsi Lec 12, Metric Learning

Lecture 01 - The Learning Problem

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