Can I read Machine Learning Systems : Designs That Scale on EtoBox?

Machine Learning Systems : Designs That Scale by Jeffrey Smith is a nonfiction available to read on EtoBox.

What is Machine Learning Systems : Designs That Scale about?

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. Foreword by Sean Owen, Director of Data Science, Cloudera Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. 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 s

Who reads Machine Learning Systems : Designs That Scale?

Author

Jeffrey Smith

Publisher

Manning Publications Company

Published

2018

Language

EN

ISBN

9781617293337

Category

nonfiction

Subjects

Science, Computer Science, Stem