Reactive Machine Learning Systems by Jeff SmithReactive Machine Learning Systems by Jeff Smith

Reactive Machine Learning Systems

byJeff Smith

Paperback | May 30, 2018

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Machine learning applications autonomously reason about data at massive scale. It's important that they remain responsive in the face of failure and changes in load. But machine learning systems are different than other applications when it comes to testing, building, deploying, and monitoring.

Reactive Machine Learning Systemsteaches readers how to implement reactive design solutions in their machine learning systems to make them as reliable as a well-built web app. Using Scala and powerful frameworks such as Spark, MLlib, and Akka, they'll learn to quickly and reliably move from a single machine to a massive cluster.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Jeff Smithbuilds large-scale machine learning systems using Scala and Spark. For the past decade, he has been working on data science applications at various startups in New York, San Francisco, and Hong Kong. He blogs and speaks about various aspects of building real world machine learning systems.
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Title:Reactive Machine Learning SystemsFormat:PaperbackDimensions:275 pages, 9.25 × 7.38 × 0.68 inPublished:May 30, 2018Publisher:Manning PublicationsLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1617293334

ISBN - 13:9781617293337

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