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Improving the Performance of Principal Component Analysis with Intel® Data Analytics Acceleration Library

This article discusses an unsupervised machine-learning algorithm called principal component analysis (PCA) that can be used to simplify the data. It also describes how Intel® Data Analytics Acceleration Library (Intel® DAAL) helps optimize this algorithm to improve the performance when running it on systems equipped with Intel® Xeon® processors.
Authored by Nguyen, Khang T (Intel) Last updated on 07/05/2019 - 14:57
Blog post

英特尔® 至强融核™ 处理器如何为机器学习/深度学习应用和框架提供强大优势

Machine learning can take very large amounts of data to predict possible outcomes with a high degree of accuracy. The second-generation Intel® Xeon Phi processor has the processor performance and memory bandwidth to address complex machine learning applications.
Authored by Pradeep Dubey (Intel) Last updated on 07/10/2018 - 08:08
Article

Optimize Linear Regression Model with Intel® DAAL

This article describes a common type of regression analysis called linear regression and how the Intel® Data Analytics Acceleration Library helps optimize this algorithm on Intel® Xeon® processors.
Authored by Nguyen, Khang T (Intel) Last updated on 02/25/2019 - 11:43
Article

Intel® Math Kernel Library for Deep Learning Networks: Part 1–Overview and Installation

Learn how to install and build the library components of the Intel MKL for Deep Neural Networks.
Authored by Bryan B. (Intel) Last updated on 03/11/2019 - 13:17
Article

Intel® Math Kernel Library for Deep Neural Networks: Part 2 – Code Build and Walkthrough

Learn how to configure the Eclipse* IDE to build the C++ code sample, along with a code walkthrough based on the AlexNet deep learning topology for AI applications.
Authored by Bryan B. (Intel) Last updated on 05/23/2018 - 11:00
Article

借助英特尔® 数据分析加速库,提升主组件分析的性能

本文探讨了一种非监督式机器学习算法,即主组件分析 (PCA),它可用于简化数据。本文还介绍了英特尔® 数据分析加速库(英特尔® DAAL)可如何帮助优化该算法,使其以更高性能在搭载英特尔® 至强® 处理器的系统上运行。
Authored by Nguyen, Khang T (Intel) Last updated on 07/05/2019 - 14:58
Article

借助英特尔® 数据分析加速库改进支持向量机

借助英特尔® 数据分析加速库改进支持向量机的性能 简介

在互联网广泛普及的情况下,文本分类已成为处理和管理文本数据的重要方式。文本分类用于对新闻报道分类和查找 Web 上的信息。例如,为搜索 Web 上的照片或区分马和狮子,必须采用相关机制对图片进行识别和分类。对文本或图片分类非常耗时。这种分类是一种出色的机器学习功能。[1]

Authored by Nguyen, Khang T (Intel) Last updated on 01/24/2018 - 15:35
Article

利用英特尔® 数据分析加速库优化线性回归方法

本文描述了一种名为线性回归的常用回归分析类型,以及英特尔® 数据分析加速库(英特尔® DAAL)如何帮助优化该算法,使其以更高的性能在搭载英特尔® 至强® 处理器的系统上运行。
Authored by Nguyen, Khang T (Intel) Last updated on 01/24/2018 - 15:35