[PDF.21aa] Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI
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Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI
Darren Cook
[PDF.cq32] Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI
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| #716635 in Books | imusti | 2016-12-16 | Original language:English | 9.17 x.63 x7.01l,.0 | File type: PDF | 300 pages | O\'Reilly Media||6 of 7 people found the following review helpful.| great first book on H2O machine learning open source framework.|By Gruyer Francois|This seems to be the very first book on this ML framework (H2O). And is is just great. The book is crystal clear and extremely comprehensive, very easy to read, with examples you can reproduce easily (datasets are on line in a public Git repo). It covers a very practical ground on the 4|About the Author|
|Darren Cook has over 20 years of experience as a software developer, data analyst, and technical director, working on everything from financial trading systems to NLP, data visualization tools, and PR websites for some of the world’s
Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a simple open source framework that’s easy to use, has a wide range of OS and language support, and scales for big data. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms.
If you’re familiar with R or Python, know a bit of statistics, and have some experience manipulat...
You easily download any file type for your device.Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI | Darren Cook. A good, fresh read, highly recommended.
