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Course

Demystifying Machine Learning

Ended Mar 2, 2023
3 credits

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Full course description

Term: Spring 2023

Date: March 2nd, 2023

Time: 10:00am - 1:00pm

Location: Online Only

Instructor: Amr E Hilal & Chreston Allen Miller

Presented By: University Libraries (LIB)

 

Description:

Over the past decade, Machine Learning has been increasingly gaining popularity as a major buzz word in academic and industrial communities. Machine Learning has been at the core of many of today’s applications and services, from consumer products to large research projects. Despite its popularity, there is a lot of uncertainty to many about what exactly it is; how it is different from other technologies; what are the limits of its applications, etc. This course aims to explore these questions without going too much into the technical details of how machine learning works. The course will cover how to know when and why to consider using a machine learning solution and will include hands-on training on using a no-coding tool for Machine Learning prototyping.

This is an introductory workshop: you do not need experience, data, or a project to participate.