Course ID: D1
Unit: DATA SCIENCE AND ENGINEERING – Unit D: Data Analysis and Processing
Weekly Hours: 4
ECTS Credits: 7
Description:Introduction to Machine Learning, probability distributions, linear models. Neural Networks, the multilayer perceptron, overfitting and regularization, deep neural networks. Kernel methods, Support Vector Machine, Relevance Vector Machine, Gaussian Processes. Clustering Methods, k-means, kernel k-means, spectral clustering. Dimension reduction. PCA, probabilistic PCA, autoencoders. Graphical models, inference methods, EM algorithm, mixture models, sampling methods, Hidden Markov Models, reinforcement learning.