Xiaohui Xie

ensemble methods - part 1
ensemble methods - part 1
ensemble methods - part 2
ensemble methods - part 2
dimension reduction
dimension reduction
VC dimension
VC dimension
clustering - part 2
clustering - part 2
clustering - part 1
clustering - part 1
support vector machine - part 3
support vector machine - part 3
support vector machine - part 1
support vector machine - part 1
support vector machine - part 2
support vector machine - part 2
decision trees
decision trees
neural nets - part 3
neural nets - part 3
neural nets - part 2
neural nets - part 2
neural nets - part 1
neural nets - part 1
Linear classification: multi-class classification
Linear classification: multi-class classification
Linear classification: gradient-based
Linear classification: gradient-based
Linear classification: perceptron
Linear classification: perceptron
Linear regression with feature augmentation and regularization
Linear regression with feature augmentation and regularization
Linear regression represented in matrix
Linear regression represented in matrix
linear regression gradient-based method summary
linear regression gradient-based method summary
Linear regression gradient calculation in matrix
Linear regression gradient calculation in matrix
linear regression gradient calculation
linear regression gradient calculation
gradient descent - 2d illustration
gradient descent - 2d illustration
linear regression - MSE
linear regression - MSE
linear regression gradient - in matrix
linear regression gradient - in matrix
gradient descent - local minima and step size
gradient descent - local minima and step size
SGD - batch vs. stochastic gradient descent
SGD - batch vs. stochastic gradient descent
linear regression gradient calculation
linear regression gradient calculation
gradient descent - step size and direction
gradient descent - step size and direction
gradient descent - intro
gradient descent - intro
ML: linear regression - part 3
ML: linear regression - part 3