Machine Learning Systems (Manning)
Wednesday, 15 August 2018

This book is an example-rich guide that teaches you how to implement reactive design solutions in your machine learning systems to make them as reliable as a well-built web app. Author Jeff Smith shows the principles of reactive design with examples including pipelines with Spark, highly scalable services with Akka, and how to use machine learning libraries like MLib on massive datasets. The examples use the Scala language, but the same ideas and tools work in Java, as well. The book is aimed at developers building production-grade ML applications that need quick response times, reliability, and good user experience.

<ASIN:1617293334>

 

Author: Jeff Smith
Publisher: Manning
Date: July 2018
Pages: 224
ISBN: 978-1617293337
Print: 1617293334
Audience: Developers of machine learning systems
Level: Intermediate
Category: Artificial Intelligence 

machlearn

 

  • Working with Spark, MLlib, and Akka
  • Reactive design patterns
  • Monitoring and maintaining a large-scale system
  • Futures, actors, and supervision

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