Machine Learning Webinar

Monday, October 18, 2021 at 10:30am to 11:30am

Virtual Event

Join Prof. Devavrat Shah in this live webinar to learn more about the upcoming Machine Learning: From Data to Decisions (Online) program. A Q&A session will follow. Register here.

In the online program, Machine Learning: From Data to Decisions, you’ll learn the most practical applications of machine learning, and explore a variety of relevant case studies and methods. Machine learning has profound effects in many different industries, from financial services to retail to advertising. It is fast becoming a fundamental tool for making better decisions in business—decisions driven by data, not gut feelings or guesswork. There are no prerequisites for this course, though knowledge of basic statistics is helpful.

Visit the Machine Learning: From Data to Decisions course page on the MIT Professional Education website.

About the Faculty

Prof. Devavrat Shah

Devavrat Shah is a professor with the department of electrical engineering and computer science at MIT. He is a member of the Laboratory for Information and Decision Systems (LIDS) and Operations Research Center (ORC), and the Director of the newly formed Statistics and Data Center in Institute for Data, Systems, and Society (IDSS). His research focus is on the theory of large complex networks, which includes network algorithms, stochastic networks, network information theory, and large-scale statistical inference. Professor Shah was awarded the first ACM SIGMETRICS Rising Star Award 2008 for his work on network scheduling algorithms. He received the 2010 Erlang Prize from INFORMS, which is given to a young researcher for outstanding contributions to applied probability. He is currently an associate editor of Operations Research.

Event Type

Conferences/Seminars/Lectures, Meetings/Gatherings, Career Development

Events By Interest

Career Development, Entrepreneurship, General

Events By Audience

Alumni, Staff

Events By School

School of Engineering (SoE)


data science, machine learning


MIT Professional Education


Contact Email

Add to my calendar

Recent Activity