5 Q's for Michael I. Jordan, Professor at the University of California, Berkeley – Center for Data Innovation
Michael I. Jordan's Home Page
Artificial Intelligence—The revolution hasn't happened yet - Amazon Science
Michael I. Jordan | Yale 2020
Michael I. Jordan's Home Page
Michael Jordan | Department of Statistics
Ani Adhikari & Michael Jordan - Computational Thinking and Inferentia…
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
UC Berkeley's Ken Goldberg and Michael I. Jordan will discuss AI at TC Sessions: Robotics + AI April 18 | TechCrunch
Expired) Statistics Department Seminar Series: Aaditya Ramdas, Department of Statistics and EECS University of California, Berkeley | Happening @ Michigan
Michael I. Jordan Interview: Clarity of Thought on AI | by Synced | SyncedReview | Medium
Michael Jordan | EECS at UC Berkeley
PDF) Graphical Models, Exponential Families, and Variational Inference
Michael Jordan | DeepAI
What are the Implications of Algorithmic Thinking? w/ Michael I. Jordan
PDF) Convexity, Classification, and Risk Bounds
Fast Kernel Learning using Sequential Minimal Optimization
Distinguished Lecture: Michael I. Jordan, UC Berkeley, The Decision-Making Side of Machine Learning | Department of Computer Science
Michael Jordan | EECS at UC Berkeley
PDF) High-dimensional union support recovery in multivariate
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
UC Berkeley's Ken Goldberg and Michael I. Jordan will discuss AI at TC Sessions: Robotics + AI April 18 | TechCrunch
Big Thinking About Big Data | Research UC Berkeley
Michael I. Jordan's Home Page
Big Thinking About Big Data | Research UC Berkeley
Distinguished Lecture Series in Statistical Sciences
ML Meets Economics: New Perspectives and Challenges - Databricks
