Machine Learning Systems pdf epub mobi txt 電子書下載2025

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Jeff Smith builds 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 aspect of building real world machine learning systems.

出版者:Manning Publications

作者:Jeff Smith

出品人:

頁數:275

译者:

出版時間:2018-3-2

價格:GBP 33.99

裝幀:Paperback

isbn號碼:9781617293337

叢書系列:

圖書標籤:

機器學習
計算機
system
Programming
spark
ML

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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. And the best way to to keep applications responsive, resilient, and elastic is to incorporate reactive design. But machine learning systems are different than other applications when it comes to testing, building, deploying, and monitoring. They also have unique challenges when you need to change the semantics or architecture of the system. To make machine learning systems reactive, you need to understand both reactive design patterns and modern data architecture patterns.