MJ
Michael I. Jordan is a professor at the University of California, Berkeley. His research spans machine learning, artificial intelligence, and statistics, with contributions to probabilistic graphical models, Bayesian methods, and large-scale optimization. He is a highly influential figure in the development of modern machine learning.
- Field
- Computer Science · Machine Learning
- Clarivate categories
- Cross-Field
- Affiliation
- University of California Berkeley, United States