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Machine Learning Systems : Designs That Scale - by Jeff Smith (Paperback)

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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 Systems teaches 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.

Number of Pages: 200
Genre: Computers + Internet
Format: Paperback
Publisher: Oreilly & Associates Inc
Author: Jeff Smith
Language: English
Street Date: July 8, 2018
TCIN: 53029980
UPC: 9781617293337
Item Number (DPCI): 248-52-2344
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MSRPReg: $44.99 Save $2.25 (5% off)
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