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GTA Chapter Professional Development Event: Demystifying Machine Learning - Hands-On Workshop Using Excel

PEMAC GTA Chapter invites you to join them for its next professional development event. Bring your lunch and gain insights from a hands-on machine learning example utilizing a basic algorithm in Excel.

Date 

June 17, 2021

Time:

12:00 pm to 1:00 pm Eastern Time Zone

Speaker

Chi-Guhn Lee is a Professor of Industrial Engineering and the Director of the Centre for Maintenance Optimization and Reliability Engineering (C-MORE) at the University of Toronto. His research interest includes reinforcement learning, Markov decision process, deep learning, supply chain optimization and physical asset management. Recent and on-going projects cover topics such as transfer learning, domain adaptation and Bayesian learning. He has worked closely with private firms including Nestle, LG, IBM, General Motors, Magna International, Fujitsu, State Grid Corp of China to name a few. 

Topic

Demystifying Machine Learning - Hands-on Workshop Using Excel

Machine learning has been very successful in a wide range of applications such as supply chain, finance, security and physical asset management. However, the notion of machine learning is still elusive, undermining its practical value in relation to its potential. In this workshop, we will demystify machine learning and walk the audience through its basic steps using a simple linear programming model. The hands-on workshop will rely only on an excel spreadsheet after covering basic mathematical equations including gradient descent.

Agenda

12:00 GTA Chapter update
12:10 Presentation
12:50 Q&A

Cost

Free, however, registration is required. The meeting link will be included in your registration confirmation.

When
June 17th, 2021 12:00 PM to  1:00 PM
Location
Canada
Webinar Event
Webinar Key 5329460817536962318

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