Machine Learning (ML) and Apache Spark have become important tools in data science. MLlib and Spark ML are two of the most popular libraries for performing machine learning tasks with Apache Spark. MLlib is a library specifically designed for distributed machine learning on large datasets, while Spark ML provides a higher-level API that focuses on ease of use and scalability. Both allow users to quickly build sophisticated models from data, but they each have their own strengths and weaknesses.