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Article

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

[Infographic] What's All The Buzz About Machine Learning

作者: Singh, Niven (Intel) 最后更新时间: 2018/01/24 - 15:35
Article

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.
作者: Nguyen, Khang T (Intel) 最后更新时间: 2019/07/05 - 14:57
Article

Benefits of Intel® Optimized Caffe* in comparison with BVLC Caffe*

Overview
作者: JON J K. (Intel) 最后更新时间: 2018/05/30 - 07:00
Article

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.
作者: Bryan B. (Intel) 最后更新时间: 2019/07/05 - 18:54
File Wrapper

Parallel Universe Magazine - Issue 26, October 2016

作者: 管理 最后更新时间: 2018/12/12 - 18:08
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
博客

AI DevCamp:Chicago

I write this as an observer of something I had yet to witness.

作者: Karl Fezer (Intel) 最后更新时间: 2018/08/14 - 16:20
Article

Intel® Math Kernel Library Improved Small Matrix Performance Using Just-in-Time (JIT) Code Generation for Matrix Multiplication (GEMM)

    The most commonly used and performance-critical Intel® Math Kernel Library (Intel® MKL) functions are the general matrix multiply (GEMM) functions.

作者: Gennady F. (Blackbelt) 最后更新时间: 2019/03/21 - 03:01