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Distributed Machine Learning on Apache Spark*

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

作者: 管理 最后更新时间: 2019/03/11 - 13:17
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Intel® Data Analytics Acceleration Library

Kent Moffat, Senior Product Manager at Intel, discusses Intel’s data analytics acceleration and math kernel libraries and how to get started. 

作者: 管理 最后更新时间: 2019/08/27 - 14:30
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Machine Learning Introduction: Regression and Classification

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

作者: Gerald M. (Intel) 最后更新时间: 2018/10/24 - 15:41
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What Is Intel® Optimization for Caffe*

Caffe* is a deep learning framework that is useful for convolutional and fully connected networks, and recently recurrent neural networks were added.

作者: Gerald M. (Intel) 最后更新时间: 2019/02/26 - 13:47
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How to Install Caffe* Optimized for Intel® Architecture

This video shows you how to install Caffe* Optimized for Intel® Architecture.

作者: Gerald M. (Intel) 最后更新时间: 2018/05/08 - 10:50
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What is All the Buzz About Machine Learning

Machine learning is changing the balance of labor between the decision making role of humans, and the number crunching roles of computers.

作者: Pradeep Dubey (Intel) 最后更新时间: 2018/01/24 - 15:35
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Security and Machine Learning in an Open Source Community

Learn about security and machine learning in an open source community from John Whiteman's presentation at the first Intel Machine Learning Meet Up.

作者: John W. (Intel) 最后更新时间: 2018/01/24 - 15:35
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ML-Bench 1.0 Constructing and Analyzing a Machine-Learning Benchmark

Machine-learning attracts a lot of interest in recent years, more than ever before, as it utilizes the increasing amounts of data for many smart applications.

作者: Amitai A. (Intel) 最后更新时间: 2018/01/24 - 15:35
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The Shallow End of Deep Learning

作者: Theodore W. (Intel) 最后更新时间: 2018/01/24 - 15:35
视频

Remove Python* Performance Barriers for Machine Learning

Online content and service providers like Netflix and Amazon have popularized the use of recommendation platforms/engines, that predict a user’s preferences based on historical ratings, collective

作者: 管理 最后更新时间: 2020/03/05 - 17:54