Machine Learning Systems: Designs that scale
By Jeff Smith
Machine Learning Systems: Designs that are widely incorporated teach you to design and implement ML systems ready for production. You will learn the principles of interactive design while building pipelines with Spark, creating highly scalable services with Akka, and using powerful machine learning libraries such as MLib in large datasets. Examples use Scala, but the same ideas and tools work in Java as well.
- Author
- Jeff Smith
- Language
- English
- Size
- 12.3 Mb
- Pages
- 253
- Format
- Year
- 2018
- Edition
- 1
About This Book
Machine Learning Systems: Designs that are widely incorporated teach you to design and implement ML systems ready for production. You will learn the principles of interactive design while building pipelines with Spark, creating highly scalable services with Akka, and using powerful machine learning libraries such as MLib in large datasets. Examples use Scala, but the same ideas and tools work in Java as well.
Contents
- Chapter 1: Learning reactive machine learning
- Chapter 2: Using reactive tools
- Chapter 3: Collecting data
- Chapter 4: Generating features
- Chapter 5: Learning models
- Chapter 6: Evaluating models
- Chapter 7: Publishing models