Machine Learning with Spark ML
Machine learning has gained popularity in recent times. In this chapter, we will do a comprehensive exploration of Spark Machine Learning (ML), a powerful framework for scalable ML on Apache Spark. We will delve into the foundational concepts of ML and how Spark ML leverages these principles to enable efficient and scalable data-driven insights.
We will cover the following topics:
- Key concepts in ML
- Different types of ML
- ML with Spark
- Considering the ML life cycle with the help of a real-world example
- Different case studies for ML
- Future trends in Spark ML and distributed ML
ML encompasses diverse methodologies tailored to different data scenarios. We will start by learning about different key concepts in ML.
