As the volume and velocity of enterprise data continue to grow, extracting high-value insight is becoming more challenging and more important. Businesses that can analyze fresh operational data instantly—without the delays of traditional data warehouses and data marts—can make the right decisions faster to deliver better outcomes.
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.
Intel® contributes significantly to both software and hardware optimizations for Java*.
Big data analytics solution developers no longer need to choose between performance and agility.
Decision trees method is one of most popular approaches in machine learning. They can easily be used to solve different classification and regression tasks.
Intel® DAAL version : 2016 Gold Initial Release (w_daal_2016.0.110.exe)
OS : Windows 8.1
Intel® DAAL is a part of Intel® Parallel Studio XE 2016, a developer toolkit for HPC and technical computing applications. Intel® DAAL is a powerful library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms. In this tutorial, we will see how to build and run Intel® DAAL Java examples included in the package.