Smith -- Machine Learning Systems -- 2018 pdf

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Machine Learning Systems: Designs that scale
Authors: Jeff Smith


Genres
Computer Science

Description:
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.

Goodreads page:
https://www.goodreads.com/book/show/32783327-machine-learning-systems

Please note that this description is auto-generated by a bot, if you find the description incorrect then please report in the comments. Description will be edited accordingly afterwards.

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  • Smith -- Machine Learning Systems -- 2018.pdf (5.0 MB)

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