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Applying Machine Learning to Predict Demand Transference
The project will help us design a machine learning model that can determine the demand transference of our customers. The key objective of this project is to design, research, build, and experiment with machine learning models to ensure low product waste and high customer satisfaction. The model will have several impactful applications across the organization.
Faculty Supervisor:
Qiang Sun
Student:
Partner:
Loblaws Inc
Discipline:
Computer science
Sector:
Technology; Agriculture and Food; Other
University:
University of Toronto
Program:
Accelerate
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