ECTS: 6
Course description:
Introduction to data analytics (principles, pipeline, pre-processing). Common Machine Learning methods (classification, clustering). Neural networks and Deep Learning. Advanced clustering techniques (DBSCAN, OPTICS, etc.). Applications on Text / audio / video data mining. Lab hours with Python, R, Spark MLib.
Course coordinator: Prof. Aggelos Pikrakis