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Big Thinking About Big Data | Research UC Berkeley
Big Thinking About Big Data | Research UC Berkeley

Michael I. Jordan | Yale 2020
Michael I. Jordan | Yale 2020

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
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

5 Q's for Michael I. Jordan, Professor at the University of California,  Berkeley – Center for Data Innovation
5 Q's for Michael I. Jordan, Professor at the University of California, Berkeley – Center for Data Innovation

PDF) Convexity, Classification, and Risk Bounds
PDF) Convexity, Classification, and Risk Bounds

Michael I. Jordan | Yale 2020
Michael I. Jordan | Yale 2020

PDF) High-dimensional union support recovery in multivariate
PDF) High-dimensional union support recovery in multivariate

Michael I. Jordan's Home Page
Michael I. Jordan's Home Page

Michael Jordan (UC Berkeley Stats Prof) on the Delusions of Big Data : r/ statistics
Michael Jordan (UC Berkeley Stats Prof) on the Delusions of Big Data : r/ statistics

What are the Implications of Algorithmic Thinking? w/ Michael I. Jordan
What are the Implications of Algorithmic Thinking? w/ Michael I. Jordan

The History and Future of AI with Michael I. Jordan | by ODSC - Open Data  Science | Medium
The History and Future of AI with Michael I. Jordan | by ODSC - Open Data Science | Medium

PDF) Graphical Models, Exponential Families, and Variational Inference
PDF) Graphical Models, Exponential Families, and Variational Inference

Michael Jordan | Department of Statistics
Michael Jordan | Department of Statistics

Michael Jordan – Medium
Michael Jordan – Medium

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
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

Michael Jordan | DeepAI
Michael Jordan | DeepAI

Michael Jordan | Simons Institute for the Theory of Computing
Michael Jordan | Simons Institute for the Theory of Computing

Michael I. Jordan's Home Page
Michael I. Jordan's Home Page

Fast Kernel Learning using Sequential Minimal Optimization
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
Distinguished Lecture: Michael I. Jordan, UC Berkeley, The Decision-Making Side of Machine Learning | Department of Computer Science

UC Berkeley's Ken Goldberg and Michael I. Jordan will discuss AI at TC  Sessions: Robotics + AI April 18 | TechCrunch
UC Berkeley's Ken Goldberg and Michael I. Jordan will discuss AI at TC Sessions: Robotics + AI April 18 | TechCrunch

Anyscale - The Future of ML and AI with Michael Jordan and Ion Stoica
Anyscale - The Future of ML and AI with Michael Jordan and Ion Stoica