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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