Explore the intersection of economics and machine learning in this 31-minute lecture by Michael Jordan from UC Berkeley. Delve into key concepts such as game theory, recommendation systems, and multiarm bandits. Discover how algorithms like UCB are applied to matching markets and decentralized models. Gain insights into the challenges and solutions in this evolving field, presented as part of the Foundations of Data Science Institute Kickoff Workshop at the Simons Institute.
Overview
Syllabus
Introduction
Game Theory
Machine Learning
Recommendation Systems
Problems
Algorithms
Gradients
Multiarm Bandits
Ucb Algorithm
Matching Markets
Decentralized Models
Questions
Taught by
Simons Institute
