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Learn to Deploy a Recommender Model as a RESTful Service to a Webpage
October 5, 2017 @ 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.
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