November 2018
Intermediate to advanced
556 pages
14h 42m
English
Content preview from Hands-On Industrial Internet of Things
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Working with the Azure ML service
The Azure ML service is a service to train and deliver a model as a containerized application. When we have built the model, we can easily deploy it in a container such as Docker, so it is very simple to deploy to the Azure Cloud. The Azure ML service can work in collaboration with Azure Batch AI, advanced hyperparameter tuning services, and Azure Container Instances.
The Azure ML service is different from the Azure ML Studio. The Azure ML Studio is a collaborative visual workspace where we can build, test, and deploy analytics without needing to write code. Models created in the Azure ML Studio cannot be deployed or managed by the Azure ML service.
The basic steps to develop our analytical model with the ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.