Παρουσίαση/Προβολή

(M124) -  Γιάννης Παναγάκης

Περιγραφή Μαθήματος

The machine learning course covers the foundations and recent developments in machine learning from a statistical learning perspective, emphasizing the interplay between statistical data modeling and mathematical optimization. The course content is organized as follows. First, basic concepts related to data representation (e.g., images, audio, text) and feature extraction are introduced. Then statistical models and optimization algorithms for regression, classification, clustering, dimensionality reduction, and feature selection are presented, as well as local methods, kernel methods, and support vector machines. The second part of the course focuses on deep learning. Elements of neural networks, training algorithms, and network architectures will be discussed.

Ημερομηνία δημιουργίας

Δευτέρα 11 Ιανουαρίου 2021