What is MLlib in Spark used for?

MLlib is a machine learning library in Spark used for implementing machine learning algorithms and data processing tasks. It offers a range of classic machine learning algorithms such as regression, classification, clustering, recommendation, and supports distributed computing to efficiently handle large-scale datasets. MLlib also provides functionality for data preprocessing, feature engineering, model evaluation, helping users build and deploy machine learning models. As a crucial component of the Spark ecosystem, MLlib provides powerful tools and platforms for data scientists and engineers to tackle complex data analysis and machine learning problems.