Machine Learning Systems

Chapter 2. Using reactive tools

This chapter covers

• Managing uncertainty with Scala
• Implementing supervision and fault tolerance with Akka
• Using Spark and MLlib as frameworks for distributed machine learning pipelines

To get ready to build full-scale reactive machine learning systems, you need to get familiar with a few tools from the Scala ecosystem: Scala itself, Akka, and Spark. In this book, we’ll write applications in Scala because it provides excellent support for functional programming and has been used successfully in building reactive systems of all kinds. Sometimes, you’ll find that Akka can be useful as a tool for providing resilience and elasticity through its implementation of the actor model. Other times, you’ll want to use ...