spark.ml package

• Overview: estimators, transformers and pipelines
• Extracting, transforming and selecting features
• Classification and Regression
• Clustering
• Advanced topics

spark.mllib package

• Data types
• Basic statistics
• Classification and regression
• Collaborative filtering
• Clustering
• Dimensionality reduction
• Feature extraction and transformation
• Frequent pattern mining
• Evaluation metrics
• PMML model export
• Optimization (developer)