Jill Cates

Jill is a data scientist at BioSymetrics, where she applies machine learning techniques to biomedical data. Outside of work, Jill is working on an open-source toolkit for implicit feedback recommendation systems. She is a member of PyLadies Toronto and Women Who Code.

Presentations

Building a recommendation system from scratch

Friday 11:00 AM–12:30 PM in Track 2 - Room 100A

A Brief Introduction to Hyperparameter Optimization

Sunday 10:15 AM–11:00 AM in Modeling & Data Techniques - Rm 100A

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