Distributed Machine Learning Patterns

1 Introduction to distributed machine learning systems

This chapter covers

• Handling the growing scale in large-scale machine learning applications
• Establishing patterns to build scalable and reliable distributed systems
• Using patterns in distributed systems and building reusable patterns

Machine learning systems are becoming more important nowadays. Recommendation systems learn to generate recommendations of potential interest with the right context according to user feedback and interactions, anomalous event detection systems help monitor assets to prevent downtime due to extreme conditions, and fraud detection systems protect financial institutions from security attacks and malicious fraud behaviors.

There is increasing demand for building ...