Scalable Machine Learning with PySpark

The document discusses scalable machine learning using PySpark. It introduces Apache Spark, an open-source framework for large-scale data processing, and how it allows for both batch and streaming data processing using its in-memory computation engine. The document also provides resources for learning Spark, including tutorials, documentation, and links to large public datasets that can be used for building scalable machine learning models.