Machine learning systems : designs that scale
Author
Published
Shelter Island, NY : Manning Publications Co., [2018].
Status
Available Online
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Format
Language
English
ISBN
1617293334, 9781617293337
Notes
General Note
Includes index.
Description
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.
Local note
O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Smith, J. (2018). Machine learning systems: designs that scale . Manning Publications Co..
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Smith, Jeff. 2018. Machine Learning Systems: Designs That Scale. Manning Publications Co.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Smith, Jeff. Machine Learning Systems: Designs That Scale Manning Publications Co, 2018.
MLA Citation, 9th Edition (style guide)Smith, Jeff. Machine Learning Systems: Designs That Scale Manning Publications Co., 2018.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
257721cf-ea82-b18d-b81c-a26943e993d4-eng
Grouping Information
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---|---|
Full title | machine learning systems designs that scale |
Author | smith jeff |
Grouping Category | book |
Last Update | 2024-03-29 07:51:22AM |
Last Indexed | 2024-05-15 02:11:15AM |
Book Cover Information
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First Loaded | Mar 20, 2024 |
Last Used | Mar 20, 2024 |
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