April 2018
Intermediate to advanced
332 pages
8h 5m
English
Content preview from Enterprise Internet of Things Handbook
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Machine learning platforms
There was a time when people used to lease machines and set up data centers to run extensive machine learning algorithms and research. Thanks to the cloud, now all the cloud-based services are available on demand.
A data scientist can load a petabyte of data into a cloud server by running a bunch of algorithms on top of it, saving the data models, extracting the results, and deprovisioning the cloud resources, and will not be billed more than $50.
Isn't this a great time we live in?
Having said that, there are multiple platforms available on the market, some offered as cloud services, some proprietary, and some open source. In the following sections, I have listed a few of them in no particular order of preference. ...
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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.
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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.