AWS launches Amazon Personalize to automate recommendation modeling

Amazon Web Services launched Amazon Personalize to make creating a recommendation model easier.  Using AutoML, a process that automates complex machine learning tasks, Personalize performs and accelerates the work required to design, train, and deploy a machine learning model. Amazon Personalize supports both datasets stored in Amazon S3 and streaming data sets, e.g. events sent in real-time from a JavaScript tracker or server-side.

Link: Amazon Blog

Visit Amazon Personalize on CabinetM.

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