2018-11-14 Automated Machine Learning Model Retraining Using AWS SageMaker

Admission: Free, General Admission, open to the public

Predictive models degrade over time for many reasons including variation in customers' preferences, competitors' behaviors, product changes and macroeconomic conditions. One way to mitigate model degradation is retraining at weekly and monthly frequencies.

Stuart will describe how Enova International uses AWS SageMaker to automatically retrain machine learning models within an inexpensive, flexible and efficient framework.

Stuart Takiar Jenkins earned his undergraduate degree at Stanford University, Ph.D. at Northwestern University and is currently an adjunct at Northwestern University. At Enova International, he manages two teams: one that builds machine learning models and a second that maintains infrastructure for automatically retraining machine learning models using AWS SageMaker.

While there will be light refreshments available, feel free to "brown bag" it and bring in food from the outside to eat during the social hour.

Reservations:

Click here to Reserve for Wednesday, November 14

or send an e-mail to greg@neumarke.net