JSM2024
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Professional Development Course/CE

Deep Learning for Statisticians

Tue, Aug 6, 8:00 AM - 12:00 PM

About this session

This short course is for those who are new to machine learning and deep learning and are interested in understanding these areas. It is for those who want to become familiar with the core concepts behind these learning algorithms and their successful applications. It is for those who want to start thinking about how machine learning and deep learning might be useful in their research, business or career development. This helf-day short course will provide an overview of statistical machine learning and deep learning methods. Topics include classical methods as well as modern techniques including basic machine learning tools, supervised and unsupervised learning, deep neural networks, computational algorithms and software for deep learning, and various applications of deep learning.

Session participants

Edgar Dobriban (University of Pennsylvania)
Participant
Xiao Wang (Purdue University)
Participant