Mahout is a machine learning library that provides implementations of common machine learning algorithms like recommender systems, clustering, and classification. It started as a subproject of Apache Lucene in 2008 and became a top-level Apache project in 2010. Mahout algorithms can run locally or on Hadoop for distributed processing of large datasets. Key areas Mahout supports include recommender