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Analytic Model Deployment – From Inception to Deployment
July 27, 2017 @ 6:30 pm - 9:30 pm
Please sign-in at the registration area at the entrance. Thank you!
The event will be livestreamed here.
Metis hosts Analytic Model Deployment – From inception to deployment with Matthew Mahowald from Open Data Group.
Join us for a live demonstration detailing the creation and deployment of gradient boosting machine models using Jupyter, Python, Kafka and FastScore. This Meetup, led by Open Data’s Matthew Mahowald, will increase your understanding of the steps required to transform, train and deploy a live streaming gradient boosting machine model in a production environment.
Matthew is a data scientist and software engineer at Open Data Group. He holds a PhD in Mathematics from Northwestern University, where he researched the geometry of string theory and topological field theory. At ODG, Matthew focuses on developing and deploying machine learning models with FastScore.
6:30 – 7:00 Register, mingle, eat & drink
7:00 – 8:00 Matthew gives talk
8:00 – 8:30 Chat with guests, staff and enjoy
Come back to this page for updates on speaker details.
Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco.
Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.
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