Event Title

Session 1: Tools Use case of Amazon Web Services SageMaker in Digital Analytics

Presenter Information

Ally Pelletier, Star Tribune

Location

University Student Union: Clark Room 262 B

Start Date

12-2-2018 11:00 AM

End Date

12-2-2018 12:00 PM

Description

Amazon Web Services (AWS) provides cloud computing resources to companies around the world. These services include data storage, computing, and analytics. In November 2017, AWS released SageMaker. SageMaker is an end-to-end service which allows developers and data scientists to explore data, train models, and deploy models in production all within an easy to use platform. SageMaker comes with built-in common algorithms but also allows data scientists to bring their own algorithms in many languages including R and Python. During this presentation we will walk through a use case of SageMaker in the digital analytics industry. The use case will include all steps of the modeling process including data preparation, training, and deployment.

This document is currently not available here.

Share

COinS
 
Feb 12th, 11:00 AM Feb 12th, 12:00 PM

Session 1: Tools Use case of Amazon Web Services SageMaker in Digital Analytics

University Student Union: Clark Room 262 B

Amazon Web Services (AWS) provides cloud computing resources to companies around the world. These services include data storage, computing, and analytics. In November 2017, AWS released SageMaker. SageMaker is an end-to-end service which allows developers and data scientists to explore data, train models, and deploy models in production all within an easy to use platform. SageMaker comes with built-in common algorithms but also allows data scientists to bring their own algorithms in many languages including R and Python. During this presentation we will walk through a use case of SageMaker in the digital analytics industry. The use case will include all steps of the modeling process including data preparation, training, and deployment.