Winter 2024: Machine Learning Algorithms
Winter 2024: Machine Learning Algorithms
Course No:
EECS 598-003
Credit Hours:
3 credits
Instructor:
Raj Nadakuditi
Prerequisites:
EECS 551, programming experience, linear algebra
his course explores the theoretical and practical limitations of machine learning algorithms, such as computational complexity, data quality and quantity. The course covers both classical and modern results in algorithmic learning theory, as well as recent advances and challenges in deep learning. The course also discusses the implications of these limitations for the design and deployment of machine learning systems in various domains.
More info (pdf)