Machine Learning As A Service Architecture

Machine Learning As A Service Architecture. A service architecture for the delivery of contextual information related to network flow records. A service architecture using machine learning to contextualize anomaly detection:

Aws offers the broadest and deepest set of machine learning services and supporting cloud infrastructure, putting machine learning in the hands of every developer, data scientist and expert practitioner.named a leader in gartner's cloud ai developer services' magic quadrant, aws is helping tens of thousands of customers accelerate their machine learning journey. In other words, create a servable. Deploying machine learning models to production in order to perform inference, i.e.

This article introduces a service that helps provide context and an explanation for the outlier score given to any network flow record selected by the

It delivers efficient lifecycle management of machine learning models. Mlaas providers offer tools including face recognition, data visualization, application programming interface (apis), predictive analytics, natural language processing, and deep learning. Machine learning as a service (mlaas) is a set of cloud services that machine learning providers offer as a part of cloud computing services. And finally, section vi concludes the paper.