Machine learning as a service (MLaaS) is an umbrella definition of various cloud-based platforms that cover most infrastructure issues such as data pre-processing, model training, and model evaluation, with further prediction... In this session we will see how we can use Microsoft Azure to use Machine Learning algorithms as a Service in most optimal ways.
Full stack Engineer at daenet GmbH. Working on ML, Web, and Mobile applications. Hands on various Azure Cloud services. Teaching Machine Learning to Bachelor students at Frankfurt University of Applied Sciences. Blog at https://firstname.lastname@example.org and https://developers.de/author/indraneel/
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