Видео ютуба по тегу Uc Berkeley Decision Results

Data for Good: Bin Yu, UC Berkeley

Data for Good: Bin Yu, UC Berkeley
UC Berkeley Lecture on Electrophysiology: Watching the Brain in Action

UC Berkeley Lecture on Electrophysiology: Watching the Brain in Action
Towards Credible and Effective Data-Driven Decision-Making

Towards Credible and Effective Data-Driven Decision-Making
Distinguished Lecture: Michael I. Jordan, UC Berkeley, the Decision-Making Side of Machine Learning

Distinguished Lecture: Michael I. Jordan, UC Berkeley, the Decision-Making Side of Machine Learning
SDSCon 2022 - Michael Jordan, UC Berkeley

SDSCon 2022 - Michael Jordan, UC Berkeley
LIDS@80: Session 3 Keynote — Peter Bartlett (University of California, Berkeley)

LIDS@80: Session 3 Keynote — Peter Bartlett (University of California, Berkeley)
Erik Wilde UC Berkeley Haas Lecture 04/28/16 Data Science Speaker

Erik Wilde UC Berkeley Haas Lecture 04/28/16 Data Science Speaker
Real-Time Decision Making in Hybrid Systems

Real-Time Decision Making in Hybrid Systems
Big Data: Values and Governance - Governance Roundtable

Big Data: Values and Governance - Governance Roundtable
Data-driven decision making in health: Why we need a statistical revolution

Data-driven decision making in health: Why we need a statistical revolution
Daniel Bruckner: Data Science & Strategy

Daniel Bruckner: Data Science & Strategy
Veridical Data Science: the practice of responsible data analysis and decision-making

Veridical Data Science: the practice of responsible data analysis and decision-making
Big Data: Values and Governance - Algorithms: Transparency, Accountability, Values & Discretion

Big Data: Values and Governance - Algorithms: Transparency, Accountability, Values & Discretion
Economics and Learning

Economics and Learning
Navigating People, Process and Technology for Data Driven Decision Making (DataEDGE 2018)

Navigating People, Process and Technology for Data Driven Decision Making (DataEDGE 2018)
Reinforcement Learning with Augmented Data (Paper Explained)

Reinforcement Learning with Augmented Data (Paper Explained)
Algorithmic Collective Action in Machine Learning

Algorithmic Collective Action in Machine Learning
Data Science at UC Berkeley: 2,000 Undergraduates, 50 Majors, No Command Line

Data Science at UC Berkeley: 2,000 Undergraduates, 50 Majors, No Command Line
CCAIM Seminar Series – Prof Bin Yu - UC Berkeley

CCAIM Seminar Series – Prof Bin Yu - UC Berkeley
Francis Kendall: the New Data Paradigm

Francis Kendall: the New Data Paradigm