This workshop focuses on the role of random matrices in data science, machine learning, and theoretical computer science. The goal is to discuss a number of hot topics in these areas, focusing on recent theoretical progress and the potential pool of applications, in a manner that is accessible to a wide audience, including researchers in data science, electrical engineering, statistics, and numerical analysis.
Topics: data science, machine learning, theoretical computer science, electrical engineering, statistics, and numerical analysis