In this chapter, we will cover the following recipes:
- Structured streaming for near real-time machine learning
- Streaming DataFrames for real-time machine learning
- Streaming Datasets for real-time machine learning
- Streaming data and debugging with queueStream
- Downloading and understanding the famous Iris data for unsupervised classification
- Streaming KMeans for a real-time online classifier
- Downloading wine quality data for streaming regression
- Streaming linear regression for a real-time regression
- Downloading Pima Diabetes data for supervised classification
- Streaming logistic regression for an on-line classifier
