Python bindings to Intel® Data Analytics Acceleration Library -- optimized building blocks for all data analytics stages, from data preparation to data mining & machine learning. Optimizes data ingestion and algorithmic compute together for the highest performance. Supports offline, streaming, and distributed usage models to meet a range of application needs. Highly tuned for efficient data layout, blocking, multi-threading, vectorization --
helping applications deliver better predictions faster, and enabling analysis of larger data sets with the same compute resources.