Course : Machine Learning - Μηχανική Μάθηση
Course code : DI443
Course Description
Parametric models, linear regression, least squares, overfitting, bias-variance trade off, ridge regression, maximum likelihood and maximum a-posteriori probability estimation, cross-validation. Bayesian classification and regression. Linear and non-linear classifiers and regressors (perceptrons, multi-layered perceptrons, radial basis functions, support vector machines). Introduction to deep learning. Context-dependent classification models (Markov chains, Viterbi algorithm, hidden Markov models). Introduction to clustering, k-means algorithm. Pattern matching techniques (Bellman principle, Levenshtein distance).
Agenda
Announcements
ALL ANNOUNCEMENTS...-
yesterday, 9:33 AM
-
yesterday, 9:29 AM
-
Saturday, March 8, 2025, 6:15 PM
-
Tuesday, January 21, 2025, 2:21 PM
-
Thursday, January 16, 2025, 12:04 PM