MACHINE LEARNING TECHNIQUES AS A SERVICE BASED ON MICROSERVICE ARCHITECTURE ON CLOUD PLATFORM

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Nithin M A
Prashant S Indimath, Nitin Raj L Praveen Kumar G A and Shilpa K A

Abstract

Machine Learning has been saturating each circle of our lives from self-governing driving, motion picture suggestions and internet shopping to focused publicizing efforts, identifying peculiar masses in the mind and securities exchange investigation. With the effect machine learning has had on our lives, there have been advocates for democratizing the science behind it to make it more open to individuals who may require it. In our undertaking, we intend to make a commitment to this drive by uncovering the energy of machine learning as an administration on a cloud based dispersed stage. We have endeavored to extract the complexities of preparing and anticipating on information however much as could reasonably be expected to enable the end client to center around the utilization of the machine adapting as opposed to the science behind it. We have planned a conveyed structure fit for both programmed scale-up and scale-out to guarantee that the client gets the execution they look for from the administration with no hiccups.

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