Developer Guide for Intel® Data Analytics Acceleration Library 2019 Update 4

What's New

Intel® Data Analytics Acceleration Library (Intel® DAAL) is the library of Intel® architecture optimized building blocks covering all stages of data analytics: data acquisition from a data source, preprocessing, transformation, data mining, modeling, validation, and decision making.

If you are new to Intel DAAL, start with the summary of the product functionality.

Algorithms implemented in the library support batch, online, and distributed processing modes of computations. More information.

Algorithms implemented in Intel DAAL include:

Intel® DAAL provides application programming interfaces for C++, Java*, and Python* languages. Visit Intel® Data Analytics Acceleration Library API Reference to download API References for C++, Java*, and Python*. API Reference for C++ is also available online on IDZ, see C++ API Reference for Intel® Data Analytics Acceleration Library.

Browse Intel DAAL documentation

For more complete information about compiler optimizations, see our Optimization Notice.
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