DataScience

Intel built a Zoo! OK, it's an Analytics Zoo, so you can build BigDL applications using an end-to-end analytics + AI platform, with built-in deep learning models, on top of Apache Spark and BigDL.

Intel® DAAL has optimized a collection of practical algorithms for this powerful ML technique, enabling state-of-the-art accuracy for a variety of regression and classification tasks.

Data organization is no longer restricted to storage and memory. The Persistent Memory Development Kit (PMDK) can be used to write applications that take advantage of persistent memory.

JuliaPro* with Intel® Math Kernel Library—and the Celeste Project*—shows why Julia is the first high-productivity language to scale well on clusters.

Intel® Data Analytics Acceleration Library provides optimized building blocks for data analysis and machine learning on Intel® platforms, and is used by data miners to produce optimum models.

Learn how to implement Intel® MKL's SGEMM (Single precision floating General Matrix-Matrix Multiplication) functionality to maximize scientific, engineering, and machine learning applications.