Apache Mahout is an open source machine learning library for developing scalable algorithms. It includes algorithms for classification, clustering, recommendation engines, and frequent pattern mining. Mahout algorithms can be run locally or on Hadoop for distributed processing. Topic modeling using latent Dirichlet allocation is demonstrated for analyzing tweets and suggesting Twitter lists. While algorithms can provide benefits, some such as digital face manipulation can also be disturbing.