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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.
Authored by Nguyen, Khang T (Intel) Last updated on 07/05/2019 - 19:05
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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
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Benefits of Intel® Optimized Caffe* in comparison with BVLC Caffe*

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Authored by JON J K. (Intel) Last updated on 05/30/2018 - 07:00
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如何在 Linux* 中安装英特尔® 数据分析加速库(英特尔® DAAL)的 Python* 版本

英特尔® 数据分析加速库(英特尔® DAAL) 1, 2 是一款用于数据分析的软件解决方案。它提供用于数据预处理、转换、建模和预测等任务的构建模块。
Authored by Nguyen, Khang T (Intel) Last updated on 07/05/2019 - 19:06
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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
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面向 GEMM 引入新封装的 API

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Authored by Gennady F. (Blackbelt) Last updated on 07/05/2019 - 19:03
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Explore Unity Technologies ML-Agents* Exclusively on Intel® Architecture

This article describes how to install and run Unity Technologies ML-Agents* in CPU-only environments.
Authored by Bryan B. (Intel) Last updated on 07/05/2019 - 18:54
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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.

Authored by Liu, Mark (Intel) Last updated on 07/03/2019 - 20:07