Big Thinking About Big Data | Research UC Berkeley
Distinguished Lecture: Michael I. Jordan, UC Berkeley, The Decision-Making Side of Machine Learning | Department of Computer Science
Anyscale - The Future of ML and AI with Michael Jordan and Ion Stoica
2016: Michael Jordan – Statistics
PDF) Convexity, Classification, and Risk Bounds
Michael Jordan | DeepAI
Math4DS Live NO.10 | "Father of Machine Learning", Michael Jordan, University of California, Berkeley - Programmer Sought
5 Q's for Michael I. Jordan, Professor at the University of California, Berkeley – Center for Data Innovation
PDF) Graphical Models, Exponential Families, and Variational Inference
PDF) High-dimensional union support recovery in multivariate
Jake A. Soloff
Michael Jordan | Department of Statistics
Michael Jordan (UC Berkeley Stats Prof) on the Delusions of Big Data : r/ statistics
Michael I. Jordan's Home Page
Expired) Statistics Department Seminar Series: Aaditya Ramdas, Department of Statistics and EECS University of California, Berkeley | Happening @ Michigan
Artificial Intelligence—The revolution hasn't happened yet - Amazon Science
Lex Fridman on Twitter: "Here's my conversation with Michael I. Jordan, professor at Berkeley, and one of the most influential people in the history of machine learning, statistics, and artificial intelligence. https://t.co/puzKcT1IrB
Distinguished Lecture Series in Statistical Sciences
Michael I. Jordan | Yale 2020
What are the Implications of Algorithmic Thinking? w/ Michael I. Jordan
Michael Jordan | DeepAI
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
Big Thinking About Big Data | Research UC Berkeley
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
