Chapter 1: Getting Up and Running with Spark
Chapter 2: Math for Machine Learning
Chapter 3: Designing a Machine Learning System
Chapter 4: Obtaining, Processing, and Preparing Data with Spark
Chapter 5: Building a Recommendation Engine with Spark
Chapter 6: Building a Classification Model with Spark
Chapter 7: Building a Regression Model with Spark
Chapter 8: Building a Clustering Model with Spark
Chapter 9: Dimensionality Reduction with Spark
Chapter 10: Advanced Text Processing with Spark
Chapter 11: Real-Time Machine Learning with Spark Streaming
Chapter 12: Pipeline APIs for Spark ML
