When:
Tuesday, January 18, 2022
12:00 PM - 1:00 PM Central
Where:
Online
Webcast Link
Audience: Faculty/Staff - Student - Post Docs/Docs - Graduate Students
Contact:
Regine Sian
(312) 503-4339
Group: Department of Preventive Medicine- Division of Biostatistics
Category: Other, Academic
Abstract: Deep learnings is a broad family of machine learning based on artificial neural networks. In this seminar, we will present the basics of deep learning and popular models that are proven to be successful in this field, illustrated by a supervised classification problem. TensorFlow, a platform with flexible tools for state-of-the-art machine learning applications, will be used for the implementation of deep learning models (in R).
Presenter:
Xinlei Mi, PhD
Assistant Professor
Department of Preventive Medicine – Biostatistics
Quantitative Data Sciences Core (QDSC)