Machine Learning & Data Science on AWS

This is a past event

183 people went

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This is our second joint meetup with AWS Chicago User Group.

Matt Winkler (see his bio below) will conduct a deep dive into Amazon Web Services' SageMaker, which helps Data Scientists and Data Engineers develop ML models that meet a wide variety of use cases. While the tooling around Data Science is developing all the time, it can be challenging to implement processes around ML to realize its full potential. Event-driven architectures are one approach to managing these types of workloads. This talk illustrates applying an event-driven architecture using Sagemaker and AWS Lambda to automate many steps in the predictive process.

Matt's experience as a Machine Learning consultant and in-house practitioner has helped him develop perspective on how to align business use cases to technology recommendations. A Data Scientist by training, Matt has developed a particular interest in exploring ways to automate predictive processes in cloud environments. With extensive experience working on Amazon Web Services, he's implemented numerous ML processes including the RandomCutForest and DeepAR models offered in AWS Sagemaker. When Matt's not deploying cloud infrastructure, he can be found walking his dog, Roscoe, around North Center or playing basketball at any number of gyms around the city. Please reach out to talk about technology or a friendly game of pick-up!


5:30 - Welcome and pizza brought to you by CreditNinja
6:00 - Presentations
7:00 - Networking and delightful social exchange

This event is hosted by CreditNinja.