The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
Intel® DAAL version : 2016 Gold Initial Release (w_daal_2016.0.110.exe)
OS : Windows 8.1
Intel has created a data analytics acceleration project on github, to help accelerate data analytic
Decision trees method is one of most popular approaches in machine learning. They can easily be used to solve different classification and regression tasks.
This article introduces Vector API to Java* developers. It shows how to start using the API in Java programs, and provides examples of vector algorithms. It provides step-by-step details on how to build the Vector API and build Java applications using it. It provides the location for downloadable binaries for Project Panama binaries.