January 2019
Intermediate to advanced
390 pages
9h 16m
English
Content preview from Hands-On Artificial Intelligence for IoT
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Introducing H2O.ai
H2O is a fast, scalable ML and deep learning framework developed by H2O.ai, released under the open source Apache license. According to the company-provided details, more than 9,000 organizations and 80,000+ data scientists use H2O for their ML/deep learning needs. It uses in-memory compression, which allows it to handle a large amount of data in memory, even with a small cluster of machines. It has an interface for R, Python, Java, Scala, and JavaScript, and even has a built-in web interface. H2O can run in standalone mode, and on Hadoop or Spark cluster.
H2O includes a large number of ML algorithms like generalized linear modeling, Naive Bayes, random forest, gradient boosting, and deep learning algorithms. The best ...
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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.