Section: Lecture Videos | 715SM - STATISTICA COMPUTAZIONALE 2016

Introduction to machine learning URL

Probability URL

Statistical Inference URL

Generalised Linear Regression URL

Bayesian Regression URL

The kernel trick URL

Introduction to classification URL

Linear Discriminant URL

Fisher's discriminant URL

Perceptron URL

Logistic regression URL

Laplace Approximation URL

Bayesian Logistic Regression URL

Constrained Optimization URL

SVM - part 1 URL

SVM - part 2 URL

Stochastic Gradient Descent URL

Early Stopping and Conjugate gradients URL

Gaussian Process Regression URL

Kernel functions URL

GP hyperparameter optimization URL

GP classification URL

GP regression example URL

Density Estimation URL

Clustering URL

Mixtures of Gaussians and Expectation Maximization URL

Dimensionality Reduction URL

Deep Learning URL

Section outline