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.
Authored by Nguyen, Khang T (Intel) Last updated on 07/05/2019 - 19:05
Blog post

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.

Authored by Robert C. (Intel) Last updated on 12/31/2018 - 16:12
Article

Using Intel® Distribution for Python* with the Xeon Phi™ Coprocessor

The Intel® Distribution for Python* mkl-mic package allows Automatic Offload (AO) of workloads to Intel® Xeon Phi™ Coprocessors.

Authored by Gergana S. (Blackbelt) Last updated on 03/21/2019 - 12:40
Article

Set Up Intel® Software Optimization for Theano* and Supporting Tools

Get recipes for installing development tools and libraries on various platforms for the Python library.
Authored by Sunny G. (Intel) Last updated on 05/08/2018 - 10:50
Article

Installing Intel® Performance Libraries and Intel® Distribution for Python* via popular package managers

Select Package for Download Instructions
Authored by Gergana S. (Blackbelt) Last updated on 07/08/2019 - 10:51
Article

Installing Intel® Performance Libraries and Intel® Distribution for Python* Using YUM Repository

This page provides general installation and support notes about the Community forum supported Intel® Performance Libraries and Intel® Distribution for Python* as they are distributed via the YUM re

Authored by Gergana S. (Blackbelt) Last updated on 07/01/2019 - 15:27
Article

How to Get Intel® Math Kernel Library, Intel® Integrated Performance Primitives, or Intel® Data Analytics Acceleration Library

This page provides links to the current ways to get the Intel® Performance Libraries: Intel® Math Kernel Library (Intel® MKL), Intel® Integrated Performance Primitives (Intel® IPP), or Intel® Data

Authored by Ying H. (Intel) Last updated on 07/03/2019 - 15:43
Article

Large Matrix Operations with SciPy* and NumPy*: Tips and Best Practices

Introduction
Authored by Last updated on 07/06/2019 - 22:04
Article

Face Detection with Intel® Distribution for Python*

Artificial Intelligence (AI) can be used to solve a wide range of problems, including those related to computer vision, such as image recognition, object detection, and medical imaging. In the present paper we show how to integrate OpenCV* (Open Source Computer Vision Library) with a Neural Network back-end.
Authored by Albino Aveleda Last updated on 06/13/2018 - 16:07
Article

Liver Patient Dataset Classification Using the Intel® Distribution for Python*

This paper focuses on the implementation of the Indian Liver Patient Dataset classification using the Intel® Distribution for Python* on the Intel® Xeon® Scalable processor.Good results were obtained by using SMOTE as the preprocessing method and the Random Forest algorithm as the classifier.
Authored by Aswathy_Intel (Intel) Last updated on 02/25/2019 - 10:25