Distinguished Lecture: Michael I. Jordan, UC Berkeley, The Decision-Making Side of Machine Learning | Department of Computer Science
Michael I. Jordan's Home Page
Michael Jordan | EECS at UC Berkeley
Expired) Statistics Department Seminar Series: Aaditya Ramdas, Department of Statistics and EECS University of California, Berkeley | Happening @ Michigan
The History and Future of AI with Michael I. Jordan | by ODSC - Open Data Science | Medium
Michael I. Jordan | Yale 2020
Michael I. Jordan's Home Page
MIT IDSS on Twitter: "Prof. Michael I. Jordan (Pehong Chen Distinguished Professor, Department of EECS, Department of Statistics AMP Lab, Berkeley AI Research Lab University of California, Berkeley) opens the 23rd Annual
Collaboration between Amazon and UC Berkeley advances AI and machine learning - Amazon Science
ML Meets Economics: New Perspectives and Challenges - Databricks
Artificial Intelligence—The revolution hasn't happened yet - Amazon Science
Michael I. Jordan | Yale 2020
PDF) High-dimensional union support recovery in multivariate
Michael I. Jordan's Home Page
UC Berkeley's Ken Goldberg and Michael I. Jordan will discuss AI at TC Sessions: Robotics + AI April 18 | TechCrunch
PDF) Convexity, Classification, and Risk Bounds
Michael Jordan | DeepAI
Anyscale - The Future of ML and AI with Michael Jordan and Ion Stoica
Michael Jordan | Simons Institute for the Theory of Computing
Fast Kernel Learning using Sequential Minimal Optimization
UC Berkeley's Ken Goldberg and Michael I. Jordan will discuss AI at TC Sessions: Robotics + AI April 18 | TechCrunch
Michael Jordan | EECS at UC Berkeley
Michael Jordan | DeepAI
