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Course : Machine Learning - Μηχανική Μάθηση

Course code : DI443

Machine Learning - Μηχανική Μάθηση

M124  -  Σταύρος Περαντώνης

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

Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
30
31
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
1
2
3
Due day
Course event
System event
Personal event