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