This document discusses machine learning and deep learning capabilities in Greenplum using Apache MADlib. It begins with an overview of MADlib, describing it as an open source machine learning library for PostgreSQL and Greenplum Database. It then discusses specific machine learning algorithms and techniques supported, such as linear regression, neural networks, graph algorithms, and more. It also covers scaling of algorithms like SVM and PageRank with increasing data and graph sizes. Later sections discuss deep learning integration with Greenplum, challenges of model management and operationalization, and introduces MADlib Flow as a tool to address those challenges through an end-to-end data science workflow in SQL.