Machine learning systems : designs that scale / Jeff Smith ; foreword by Sean Owen.

Format:

Book

Author/Creator:

Smith, Jeff, 1982- author.

Contributor:

Owen, Sean, writer of foreword.

Language:

English

Subjects (All):

Scala (Computer program language).

Machine learning.

Physical Description:

1 online resource (1 volume) : illustrations

Edition:

1st edition

Place of Publication:

Shelter Island, New York : Manning Publications, [2018]

System Details:

text file

Summary:

Summary Machine Learning Systems: Designs that scale 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. About the Technology If you're building machine learning models to be used on a small scale, you don't need this book. But if you're a developer building a production-grade ML application that needs quick response times, reliability, and good user experience, this is the book for you. It collects principles and practices of machine learning systems that are dramatically easier to run and maintain, and that are reliably better for users. About the Book Machine Learning Systems: Designs that scale teaches you to design and implement production-ready ML systems. You'll learn the principles of reactive design as you build pipelines with Spark, create highly scalable services with Akka, and use powerful 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. What's inside Working with Spark, MLlib, and Akka Reactive design patterns Monitoring and maintaining a large-scale system Futures, actors, and supervision About the Reader Readers need intermediate skills in Java or Scala. No prior machine learning experience is assumed. About the Author Jeff Smith builds powerful machine learning systems. For the past decade, he has been working on building data science applications, teams, and companies as part of various teams in New York, San Francisco, and Hong Kong. He blogs (https://medium.com/@jeffksmithjr), tweets (@jeffksmithjr), and speaks (www.jeffsmith.tech/speaking) about various aspects of building real-world machine learning systems.

Contents:

Fundamentals of reactive machine learning

Building a reactive machine learning system

Operating a machine learning system.

Notes:

Includes index.

Description based on print version record.

ISBN:

9781638355366

1638355363

9781617293337

1617293334

OCLC:

1043671380