COSC 7362: Advanced Machine Learning, Spring 2023

Instructor:

Ricardo Vilalta (rvilalta@uh.edu)

Office:

MRE Building, Room 203C.

Office Hours:

By appointment only

Class Time:

Tuesdays and Thursdays 11:30 AM - 1:00 PM (online via MS Teams)

Telephone:

(713) 743-3614

Readings:

• Papers and Book Chapters in Machine Learning (provided in class).
• The Elements of Statistical Learning by T. Hastie, R. Tibshirani, and J. Friedman; 2nd Edition. Springer, 2009.

Welcome to Advanced Machine Learning! The objective of this course is to teach modern topics in machine learning. The course will deepen the student's knowledge of how to build computer systems that learn from experience. The course assumes basic knowledge of introductory machine learning, and a good background on probability and statistics, linear algebra, and optimization methods. We will cover modern topics such as learning theory, transfer learning, meta-learning, domain adaptation, self-adaptive learning algorithms, deep learning, Gaussian processes, and kernel methods. Students will read papers from main conferences in machine learning and will learn to identify novel ideas within the field.

For more information visit the course on Blackboard.

Note: There is no final exam in this course.

For more information visit the course on Blackboard.