Apache Mahout is a scalable machine learning library. It provides recommendations, clustering, and supervised learning algorithms. A new stochastic gradient descent classifier allows for highly scalable classification with sparse, high-dimensional data. The document outlines Mahout's scalable algorithms and speed improvements through optimizations like evolutionary parameter tuning and multithreading.