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Distributed Machine Learning services and Android
Description:Machine Learning and Artificial Intelligence represent an exciting opportunity for all of us to stop working on repetitive tasks, to improve the velocity and precision of data analysis, and to get an insight on complex and simple problems of everyday life. Taking food preferences as example, Using ML and AI, and consuming the data feed exposed on various social media, is possible to automatically generate a model to describe the food preferences of any user at any time. With such model, it is possible to provide contextual recommendations that matter to a foodie.

What will Learn: you will learn how to define, build, train, and deploy a machine learning model on the Amazon SageMaker infrastructure, how to feed the model with the data that come from a user social media accounts, and how to consume the SageMaker endpoints and display the food recommendations in an Android app

Speaker:Giorgio Natili , Amazon

More online AI tech talks:

Nov 14, 2018 10:00 AM in Pacific Time (US and Canada)

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