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Learn to Deploy a Recommender Model as a RESTful Service to a Webpage
October 5 @ 6:30 pm - 8:30 pm
NOTE: Please sign-in at the registration area at the entrance. Thank you!
In this talk, Matthew Mahowald, lead data scientist at Open Data Group, will go through the process of creating and deploying a simple “find me a place to live” recommender model using a RESTful interface.
Matt will start by reviewing the mathematical concepts of the model, and share how that model is implemented in python. Next, Matt will deploy the trained model as a RESTful service via FastScore, and cover the important differences between creating and deploying a model. Once the model is deployed, Matt will share how to connect the deployed model to a simple webpage front end that queries the model (as a service) and can be used to recommend places to live.
Join us at Metis for this fun, informative session of what it means to both create and the deploy a model to build a web based service
6:30 – 7:00 – Meet and Greet
7:00 – 8:00 – Event Content
8:00 – 8:30 – Wind-down and Q&A
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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