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E-BooksReactive Machine Learning Systems




Reactive Machine Learning Systems
Reactive Machine Learning Systems by Jeff Smith
English | 2018 | ISBN: 1617293334 | 253 Pages | PDF true | 5.76 MB



English | 2018 | ISBN: 1617293334 | 253 Pages | PDF true | 5.76 MB
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.

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