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Article

Nervana’s Deep Learning Course

Nervana has joined Intel

Автор: админ Последнее обновление: 20.03.2019 - 13:15
Article

腾讯* 在基于英特尔® 至强® 处理器的游戏内购买推荐系统中使用机器学习

To enhance the online gaming user experience, Tencent uses an in-game purchase recommendation system employing the machine learning method to help users decide what equipment they would want to buy within their games. Tencent machine learning engine uses DGEMM6 extensively in its module to compute the coefficients for the logistic regression machine learning algorithm.
Автор: Nguyen, Khang T (Intel) Последнее обновление: 12.12.2018 - 18:00
Article

Gentle Introduction to PyDAAL: Vol 1 Data Structures

The Intel® Data Analytics Acceleration Library (Intel® DAAL) is written on Intel® architecture optimized building blocks and includes support for all data analytics stages. Data-driven decision making is empowered by Intel® DAAL with foundations for data acquisition, preprocessing, transformation, data mining, modeling and validation.
Автор: Preethi Venkatesh (Intel) Последнее обновление: 12.12.2018 - 18:00
Article

Gentle Introduction to PyDAAL: Vol 2 Basic Operations on Numeric Tables

Previous: Vol 1: Data Structures

Автор: Preethi Venkatesh (Intel) Последнее обновление: 12.12.2018 - 18:00
Article

Gentle Introduction to PyDAAL: Vol 3 Analytics Model Building and Deployment

Previous: Vol 2: Basic Operations on Numeric Tables

Автор: Preethi Venkatesh (Intel) Последнее обновление: 12.12.2018 - 18:00
Article

Gentle Introduction to PyDAAL: Vol 4 Distributed and Online Processing

Introduction
Автор: Preethi Venkatesh (Intel) Последнее обновление: 12.12.2018 - 18:00
Article

Maximize TensorFlow* Performance on CPU: Considerations and Recommendations for Inference Workloads

This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
Автор: Nathan Greeneltch (Intel) Последнее обновление: 31.07.2019 - 12:11
Article

最大限度提升 CPU 上的 TensorFlow* 性能:推理工作负载的注意事项和建议

本文将介绍使用面向 TensorFlow 的英特尔® 优化* 进行 CPU 推理的性能注意事项
Автор: Nathan Greeneltch (Intel) Последнее обновление: 09.08.2019 - 02:02
Article

Analytics Speed with Ease: Visual Bag-Of-Words in Python* with Intel® Data Analytics Acceleration Library (Intel® DAAL) High Level API

In the companion article, we concluded that Intel® Data Analytics Acceleration Library (DAAL) efficiently utilizes all resources of your machine to perform faster analytics. Now we will show you how to take advantage of these faster analytics methods with simpler Python* commands, namely with Daal4py interface.
Автор: Preethi Venkatesh (Intel) Последнее обновление: 27.08.2019 - 14:30
Article

Visual Bag-Of-Words in Python*: Speed Advantage of Intel® Data Analytics Acceleration Library (Intel® DAAL) over Scikit-learn*

Image recognition with machine learning techniques has achieved significant growth due to advances in recent years in both algorithmic efficiency and hardware performance. Even with these advances, image pre-processing of raw images remains a critical step, especially in larger datasets.
Автор: Nathan Greeneltch (Intel) Последнее обновление: 27.08.2019 - 14:30