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How to Install the Python* Version of Intel® Data Analytics Acceleration Library (Intel® DAAL) in Linux*

The Intel® Data Analytics Acceleration Library (Intel® DAAL) 1, 2 is a software solution for data analytics. It provides building blocks for data preprocessing, transformation, modeling, predicting, and so on.
作者: Nguyen, Khang T (Intel) 最后更新时间: 2019/07/05 - 19:05
博客

Announcing the Intel® Distribution for Python* Beta

The Beta for Intel® Distribution for Python* 2017 has been available for 1 month and I wanted to share some of our experiences.

作者: Robert C. (Intel) 最后更新时间: 2018/12/31 - 16:12
Article

Intel® Media SDK & Intel® Media Server Studio Historical Release Notes

Release Notes of Intel® Media SDK include important information, such as system requirements, what's new, feature table and known issues since the previous release.

作者: Liu, Mark (Intel) 最后更新时间: 2019/07/03 - 20:07
Article

Deliver the Value of Analytics & AI at Scale with Intel®-optimized Open Source Software

Bring greater capacity and performance to your Data Analytics & AI at scale with open source software and Intel® Platform Technologies
作者: Ziya M. (Intel) 最后更新时间: 2019/07/23 - 11:34
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Performance and Agility with Big Data in a Containerized Environment

Big data analytics solution developers no longer need to choose between performance and agility.
作者: Michael G. (Intel) 最后更新时间: 2019/08/01 - 10:32
Article

Vector API Developer Program for Java* Software

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.
作者: Neil V. (Intel) 最后更新时间: 2019/10/15 - 15:30
Article

Getting Started with Intel® Optimization for PyTorch* on Second Generation Intel® Xeon® Scalable Processors

Accelerate deep learning PyTorch* code on second generation Intel® Xeon® Scalable processor with Intel® Deep Learning Boost.
作者: Nathan Greeneltch (Intel) 最后更新时间: 2019/10/15 - 16:50
Article

Using Intel® Data Analytics Acceleration Library to Improve the Performance of Naïve Bayes Algorithm in Python*

This article discusses machine learning and describes a machine learning method/algorithm called Naïve Bayes (NB) [2]. It also describes how to use Intel® Data Analytics Acceleration Library (Intel® DAAL) [3] to improve the performance of an NB algorithm.
作者: Nguyen, Khang T (Intel) 最后更新时间: 2019/10/15 - 16:50
Article

Caffe* Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
作者: Gennady F. (Blackbelt) 最后更新时间: 2019/10/15 - 16:50
Article

Baidu Deep Neural Network Click-Through Rate on Intel® Xeon® Processors E5 v4

How do new web sites selling products or services appear at the top of the search list? The key is to use the right keywords that people might use to search for their products or services. Baidu1 is the most popular search engine in China. Ad companies can pay Baidu so that their ads appear at the top of the search list.
作者: Nguyen, Khang T (Intel) 最后更新时间: 2019/10/15 - 16:50