Michael I. Jordan | Yale 2020
Collaboration between Amazon and UC Berkeley advances AI and machine learning - Amazon Science
Jake A. Soloff
ML Meets Economics: New Perspectives and Challenges - Databricks
Michael Jordan | Simons Institute for the Theory of Computing
2016: Michael Jordan – Statistics
Big Thinking About Big Data | Research UC Berkeley
The History and Future of AI with Michael I. Jordan | by ODSC - Open Data Science | Medium
Big Thinking About Big Data | Research UC Berkeley
PDF) High-dimensional union support recovery in multivariate
Michael Jordan | DeepAI
Fast Kernel Learning using Sequential Minimal Optimization
Ani Adhikari & Michael Jordan - Computational Thinking and Inferentia…
Michael Jordan | EECS at UC Berkeley
Michael I. Jordan's Home Page
Michael Jordan (UC Berkeley Stats Prof) on the Delusions of Big Data : r/ statistics
Distinguished Lecture Series in Statistical Sciences
PDF) Convexity, Classification, and Risk Bounds
Michael I. Jordan Interview: Clarity of Thought on AI | by Synced | SyncedReview | Medium
Michael I. Jordan | Yale 2020
Michael Jordan | EECS at UC Berkeley
Distinguished Lecture: Michael I. Jordan, UC Berkeley, The Decision-Making Side of Machine Learning | Department of Computer Science
