Machine Learning Graduate Certificate
Program Overview
The Machine Learning certificate program offers a practical foundation in deep learning theory. Through required coursework in CS 559 Machine Learning: Fundamentals & Applications and a choice of three elective courses, students gain expertise in real-world applications such as AI, statistical machine learning, causal inference, deep learning, and natural language processing. The program is led by Eduardo Bonelli, and its curriculum provides students with the skills and knowledge needed for careers in the field.
Program Outline
Degree Overview:
The machine learning certificate program provides a practical foundation in deep learning theory. The curriculum is highly focused and allows students to apply or develop the appropriate skills for real-world applications.
Outline:
- Required Course: CS 559 Machine Learning: Fundamentals & Applications
- Elective Courses (Choose 3):
- CS 541 Artificial Intelligence
- CS 560 Statistical Machine Learning
- CS 582 Causal Inference
- CS 583 Deep Learning
- CS 584 Natural Language Processing
Other:
The program director is Eduardo Bonelli.