Neo4j and SageMaker Hands-On Lab

Neo4j

Exclusive In-Person Event for Data Scientists in Minneapolis.

AWS Minneapolis Office

Workshop Description: Neo4j and SageMaker Hands on Lab Neo4j is the leading graph database vendor. We’ve worked closely with AWS Engineering for years. Our products, Neo4j Graph Database, Graph Data Science and Bloom are offered in the AWS Marketplace.In this hands-on lab, you’ll get to learn about Neo4j and AWS SageMaker. The lab is intended for data scientists and data engineers. We’ll walk through deploying Neo4j and SageMaker on AWS in your own AWS account. Then we’ll get hands on with a real world dataset, building a machine learning pipeline that takes advantage of features generated using Neo4j Graph Data Science to improve prediction in AWS SageMaker. You’ll come out of this lab with enough knowledge to apply graph feature engineering to your own datasets.In this workshop we’ll walk you through the following<ul><li>How to load that data from an AWS S3 bucket into Neo4j</li><li>Explore the relationships using the Neo4j Browser and Neo4j’s Cypher query language</li><li>Use Neo4j Graph Data Science to create a graph embedding from our data, export that out, and run supervised learning algorithms in AWS SageMaker</li><li>Build machine learning pipelines with Neo4j and AWS SageMaker</li></ul>Venue: These workshops are organized onsite in an AWS office.Duration: 3 hours.Prerequisites: <ul><li>You&#x27;ll need a laptop with a web browser. </li><li>Your browser will need to be able to access the AWS Console and port 7474 on a Neo4j deployment running in AWS. </li></ul>NOTE: If your laptop has a firewall you can&#x27;t control, you may want to bring your personal laptop.If you have an AWS account already, you may be able to use that. You would need permissions that allow you to deploy a SageMaker domain and deploy a CloudFormation template from Marketplace. It would also need permission to deploy various AWS resources including a VPC and a Load Balancer. If your access doesn&#x27;t meet those requirements, we&#x27;ll walk you through creating a new account with full access.Following the workshop, we invite you to join us for a networking event following the lab - location is TBA. Food and beverages will be served.The event is free but space is limited, so register today!** Please note: You will need to bring your laptop for the session and the session will not be recorded or simulcast. **

<h3>SPEAKER</h3>Ben LackeyDirector, Global Cloud Channel ArchitectureBen leads the partner architecture team at Neo4j, working closely with our cloud partners to build better together solutions, making it easier for our customers to quickly get value from Neo4j on Amazon. He has a Masters Degree in Statistical Learning Theory. During his career he’s worked on everything from original work in polychotomous support vector machines to real-time bond pricing systems.

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Neo4j and SageMaker Hands-On Lab

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Neo4j and SageMaker Hands-On Lab

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