YoVDO

Economics and Learning

Offered By: Simons Institute via YouTube

Tags

Game Theory Courses Data Science Courses Machine Learning Courses Algorithms Courses Recommendation Systems Courses

Course Description

Overview

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.

Syllabus

Introduction
Game Theory
Machine Learning
Recommendation Systems
Problems
Algorithms
Gradients
Multiarm Bandits
Ucb Algorithm
Matching Markets
Decentralized Models
Questions


Taught by

Simons Institute

Related Courses

Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Scientific Computing
University of Washington via Coursera Introduction to Data Science
University of Washington via Coursera Web Intelligence and Big Data
Indian Institute of Technology Delhi via Coursera