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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.
Автор: Nguyen, Khang T (Intel) Последнее обновление: 05.07.2019 - 19:05
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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.

Автор: Robert C. (Intel) Последнее обновление: 31.12.2018 - 16:12
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.
Автор: Sunny G. (Intel) Последнее обновление: 08.05.2018 - 10:50
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

Автор: Gergana S. (Blackbelt) Последнее обновление: 01.07.2019 - 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

Автор: Ying H. (Intel) Последнее обновление: 03.07.2019 - 15:43
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.
Автор: Albino Aveleda Последнее обновление: 13.06.2018 - 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.
Автор: Aswathy_Intel (Intel) Последнее обновление: 25.02.2019 - 10:25
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What to Expect: Linux* | Intel® Distribution for Python*

Access system requirements and installation instructions for the download.
Автор: админ Последнее обновление: 25.01.2019 - 17:28
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.

Автор: Gergana S. (Blackbelt) Последнее обновление: 15.10.2019 - 15:30
Article

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

Introduction
Автор: Последнее обновление: 15.10.2019 - 21:16