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Machine/Deep Learning applied in P&C insurance representations
The purpose of this project is to allow the company to have access to useful insurance representations, encoding the diversity of contexts found in larger markets. This is expected to boost the performance of predictions for tasks learned in small data and highly variable target setting.
Faculty Supervisor:
Yoshua Bengio
Student:
Aboubaker Aden Houssein
Partner:
Intact Insurance
Discipline:
Computer science
Sector:
University:
Université de Montréal
Program:
Accelerate
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