Course Information

Course Code:
Course Number:
Code Course Name Language Type
BLG 454E Learning From Data English Compulsory /
Local Credits ECTS Theoretical Tutorial Laboratory
3 5 3 0 0
Course Prerequisites and Class Restriction
Prerequisites MAT 271 MIN DD
or MAT 271E MIN DD
or ECN 301E MIN DD
or YZV 231E MIN DD
Class Restriction None
Course Description
Introduction to Machine Learning, major applications Mathematical background, marginal and conditional Probability, Bayes theorem, Bayesian decision theory Density estimation, Maximum Likelihood estimate, Bayesian Learning, Naïve Bayes Linear regression Bias-variance dilemma, regularization, ridge regression and lasso Linear classifiers Artificial neural networks, perceptron and multilayer perceptron Assessment and comparison of classifier performance Feature selection and extraction Large margin classifiers, support vector machines, kernel methods Decision trees and random forest Unsupervised learning, clustering Deep learning and big data