Fast Kernel Learning using Sequential Minimal Optimization
PDF) High-dimensional union support recovery in multivariate
PDF) Convexity, Classification, and Risk Bounds
Michael I. Jordan's Home Page
Michael JORDAN | Professor (Full) | University of California, Berkeley, CA | UCB | Department of Statistics - Page 9
Michael I. Jordan | Yale 2020
Michael Jordan | DeepAI
Artificial Intelligence—The revolution hasn't happened yet - Amazon Science
What are the Implications of Algorithmic Thinking? w/ Michael I. Jordan
Distinguished Lecture: Michael I. Jordan, UC Berkeley, The Decision-Making Side of Machine Learning | Department of Computer Science
Distinguished Lecture Series in Statistical Sciences
Michael Jordan – Medium
Collaboration between Amazon and UC Berkeley advances AI and machine learning - Amazon Science
Michael Jordan | EECS at UC Berkeley
Michael I. Jordan | Yale 2020
2016: Michael Jordan – Statistics
Big Thinking About Big Data | Research UC Berkeley
UC Berkeley's Ken Goldberg and Michael I. Jordan will discuss AI at TC Sessions: Robotics + AI April 18 | TechCrunch
Michael I. Jordan's Home Page
PDF) Graphical Models, Exponential Families, and Variational Inference
UC Berkeley's Ken Goldberg and Michael I. Jordan will discuss AI at TC Sessions: Robotics + AI April 18 | TechCrunch
Michael I. Jordan Interview: Clarity of Thought on AI | by Synced | SyncedReview | Medium
Michael Jordan | Department of Statistics
Anyscale - The Future of ML and AI with Michael Jordan and Ion Stoica
Michael Jordan (UC Berkeley Stats Prof) on the Delusions of Big Data : r/ statistics
Ani Adhikari & Michael Jordan - Computational Thinking and Inferentia…
