Apache Spark for Machine Learning

Table of Contents

1. An Overview of Machine Learning Concepts
2. Data Processing with Spark
3. Feature Extraction and Transformation
4. Building a Regression System
5. Building a Classification System
6. Building a Clustering System
7. Building a Recommendation System
8. Mining Frequent Patterns
9. Deploying a Model