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Apache Spark* Innovation: Driving a Stronger Community Standard

This blog post was jointly written by Jiangang Duan, Jie Huang and Weihua Jiang (Intel), Alex Gutow (Cloudera), and Dale Kim (MapR)

 

Автор: Последнее обновление: 11.03.2019 - 13:17
Article

Using the Intel® SSSE3 Instruction Set to Accelerate DNN Algorithm in Local Speech Recognition

The main algorithm of speech recognition has changed to DNN (Deep Neural Network). Without internet, the speech recognition service in your mobile devices nearly useless, very few times it can listen to what you said and work.With support for the SSSE3 instruction set on Intel’s CPU, we could easy run a DNN based speech recognition application without the internet. Adding direct SSSE3 support...
Автор: Последнее обновление: 26.03.2019 - 16:08
Article

Using Intel Data Analytics Acceleration Library on Apache Spark*

Apache Spark* (http://spark.apache.org/) is a fast and general engine for large-scale data processing.

Автор: Zhang, Zhang (Intel) Последнее обновление: 11.03.2019 - 13:17
Видео

Intel's Machine Learning Strategy

Joseph Spisak, Director, Strategy and Business Development at Intel, discusses Intel’s machine learning strategy and its impact.

Автор: админ Последнее обновление: 24.01.2018 - 15:35
Видео

Distributed Machine Learning on Apache Spark*

Radhika Rangarajan, Engineering Program Manager at Intel, discusses distributed machine learning on Apache Spark*.

Автор: админ Последнее обновление: 11.03.2019 - 13:17
Видео

An Inside and Outside Scan: Machine Learning, Big Data Analytics, AI, Cognitive Computing

John Miranda, Software Engineering Manager at Intel, discusses machine learning, big data analytics, artificial intelligence and cognitive computing and how these areas are driving career opportuni

Автор: админ Последнее обновление: 24.01.2018 - 15:35
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
Блоги

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

Manage Deep Learning Networks with Caffe* Optimized for Intel® Architecture

How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Автор: Andres Rodriguez (Intel) Последнее обновление: 11.03.2019 - 13:17
Видео

Machine Learning Introduction: Regression and Classification

This video examines two of the main problems with machine learning, regression, and classification.

Автор: Gerald M. (Intel) Последнее обновление: 24.10.2018 - 15:41