Session Schedule

Session Schedule2019-01-07T06:25:51+00:00

Tuesday

8:00 AM

Arts & Crafts with AWS Glue Workshop

Presented by: Lydia White, James Zhang
Time: Tuesday 8:00 AM - 12:00 PM

Constructing and administering a big data scale Extract, Transform & Load (ETL) and Business Intelligence (BI) pipeline can be expensive and complicated. Fortunately, Amazon Web Services (AWS) simplifies this with Glue and QuickSight services. Glue, a fully managed, serverless and cloud-optimized...

Room: Salon HTrack: DataTags: Cloud, Big Data, PythonFormat: PreCompilerLevel: Introductory and overview

Wednesday

1:00 PM

Help Cure the #1 Leading Cause of Death in America

Presented by: Luther Hill
Time: Wednesday 1:00 PM - 5:00 PM

The number one leading cause of death in America is Cardiovascular Disease. Doctors often spend years researching cures for this disease without any results. In this highly interactive 4-hour tutorial attendees will build an image recognition model and then use it to build and deploy a web app to...

Room: Salon HTrack: DataTags: Cloud, Big Data, Javascript, PythonFormat: PreCompilerLevel: Advanced

Thursday

8:00 AM

Making Faces: Image Reduction and Recognition

Presented by: Steve Crow
Time: Thursday 8:00 AM - 9:00 AM

A 350px by 300px image contains 105,000 individual pixels. Comparing each pixel to tell whether or not two images are the same is not efficient. What if we could reduce the number of features, while still maintaining patterns and trends? What if we could perform this recognition by only comparing 25...

Room: Salon DTrack: DataTags: Big Data, Other, PythonFormat: General SessionLevel: Introductory and overview

Friday

8:30 AM

Well.. that's ONNX-pected

Presented by: Ron Dagdag
Time: Friday 8:30 AM - 9:30 AM

The world of machine learning frameworks is complex. What if we can use the lightest framework for inferencing on edge devices? That’s the idea behind ONNX format. Attend this session and find out how to train models using the framework of your choice, save or convert models into ONNX, and deploy...

Room: RosewoodTrack: DataTags: .NET, Cloud, Big Data, Javascript, Other, PythonFormat: General SessionLevel: Intermediate