Session 1: Tools Use case of Amazon Web Services SageMaker in Digital Analytics
Presentation Type
Event
Abstract
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.
Start Date
2-12-2018 11:00 AM
End Date
2-12-2018 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.