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

Intel® Distribution for Python 2017 Update 2 accelerates five key areas for impressive performance gains

Intel Corporation is pleased to announce the release of Intel® Distribution for Python* 2017 Update 2, which offers both performance improvements and new features. 

Автор: Sergey Maidanov (Intel) Последнее обновление: 25.05.2018 - 11:00
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Achieving High-Performance Computing with The Intel® Distribution for Python*

Python* has become instrumental tool for those looking for a high productivity language for a variety of programming tasks including advanced numerical work.

Автор: WEI L. (Intel) Последнее обновление: 10.06.2019 - 09:40
Article

Intel® Distribution for Python* versus Non-Optimized Python: Breast Cancer Classification

This case study compares the performance of Intel® Distribution for Python* to that of non-optimized Python using a breast cancer classification. This comparison was done using machine learning algorithms from the scikit-learn* package in Python.
Автор: админ Последнее обновление: 12.12.2018 - 18:00
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
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Part 4: Accelerate Scikit-learn*

Автор: Gerald M. (Intel) Последнее обновление: 23.09.2019 - 10:37
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Part 3: Profile Python* Code in Intel® VTune™ Amplifier

Автор: Gerald M. (Intel) Последнее обновление: 23.09.2019 - 10:38
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Part 2: Techniques for Accelerating NumPy & SciPy

Автор: Gerald M. (Intel) Последнее обновление: 23.09.2019 - 10:39
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Part 1: Overview

Автор: Gerald M. (Intel) Последнее обновление: 23.09.2019 - 10:40