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Machine Learning Systems

- Designs that scale
Af: Jeff Smith Engelsk Paperback

Machine Learning Systems

- Designs that scale
Af: Jeff Smith Engelsk Paperback
Tjek vores konkurrenters priser

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.

 

Key Features:

·    Example-rich guide

·    Step-by-step guide

·    Move from single-machine to massive cluster

 

Readers should have intermediate skills in Java or Scala. No previous machine learning experience is required.

 

About the Technology:

Machine learning systems are different than other applications when it comes to testing, building, deploying, and monitoring. To make machine learning systems reactive, you need to understand both reactive design patterns and modern data architecture patterns.

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Tjek vores konkurrenters priser
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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.

 

Key Features:

·    Example-rich guide

·    Step-by-step guide

·    Move from single-machine to massive cluster

 

Readers should have intermediate skills in Java or Scala. No previous machine learning experience is required.

 

About the Technology:

Machine learning systems are different than other applications when it comes to testing, building, deploying, and monitoring. To make machine learning systems reactive, you need to understand both reactive design patterns and modern data architecture patterns.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 275
ISBN-13: 9781617293337
Indbinding: Paperback
Udgave:
ISBN-10: 1617293334
Kategori: Machine learning
Udg. Dato: 25 sep 2018
Længde: 10mm
Bredde: 185mm
Højde: 235mm
Forlag: Manning Publications
Oplagsdato: 25 sep 2018
Forfatter(e): Jeff Smith
Forfatter(e) Jeff Smith

Kategori Machine learning

ISBN-13 9781617293337

Sprog Engelsk

Indbinding Paperback

Sider 275

Udgave

Længde 10mm

Bredde 185mm

Højde 235mm

Udg. Dato 25 sep 2018

Oplagsdato 25 sep 2018

Forlag Manning Publications