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Authored by Nguyen, Khang T (Intel) Last updated on 07/06/2019 - 16:40
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Baidu Deep Neural Network Click-Through Rate on Intel® Xeon® Processors E5 v4

How do new web sites selling products or services appear at the top of the search list? The key is to use the right keywords that people might use to search for their products or services. Baidu1 is the most popular search engine in China. Ad companies can pay Baidu so that their ads appear at the top of the search list.
Authored by Nguyen, Khang T (Intel) Last updated on 07/05/2019 - 14:36
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Using Intel® Data Analytics Acceleration Library to Improve the Performance of Naïve Bayes Algorithm in Python*

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Authored by Nguyen, Khang T (Intel) Last updated on 07/06/2019 - 16:40
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Recipe: Optimized Caffe* for Deep Learning on Intel® Xeon Phi™ processor x200

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Authored by Vamsi Sripathi (Intel) Last updated on 03/21/2019 - 12:40
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R 语言中的OpenBLAS*和英特尔® 数学核心函数库的性能比较

Today, scientific and business industries collect large amounts of data, analyze them, and make decisions based on the outcome of the analysis. This paper compares the performance of Basic Linear Algebra Subprograms (BLAS), libraries OpenBLAS, and the Intel® Math Kernel Library (Intel® MKL).
Authored by Nguyen, Khang T (Intel) Last updated on 07/06/2019 - 16:30
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利用英特尔® 数据分析加速库提高 Python* 语言中朴素贝叶斯算法的性能

This article discusses machine learning and describes a machine learning method/algorithm called Naïve Bayes (NB) [2]. It also describes how to use Intel® Data Analytics Acceleration Library (Intel® DAAL) [3] to improve the performance of an NB algorithm.
Authored by Nguyen, Khang T (Intel) Last updated on 07/06/2019 - 16:30
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英特尔® 至强® 处理器 E5 v40 有助于提高百度深度神经网络点击率

销售产品或服务的新网站如何才能在搜索列表的前几页显示?关键是使用正确的关键字,并与用户搜索产品或服务时使用的关键字相关。百度1 是中国最常用的搜索引擎。为了使广告出现在搜索列表的前几页,广告公司需要向百度支付一定的费用。
Authored by Nguyen, Khang T (Intel) Last updated on 07/05/2019 - 14:37
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Vector API Developer Program for Java* Software

This article introduces Vector API to Java* developers. It shows how to start using the API in Java programs, and provides examples of vector algorithms. It provides step-by-step details on how to build the Vector API and build Java applications using it. It provides the location for downloadable binaries for Project Panama binaries.
Authored by Neil V. (Intel) Last updated on 07/06/2019 - 16:30
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Getting Started with Intel® Optimization for PyTorch* on Second Generation Intel® Xeon® Scalable Processors

Accelerate deep learning PyTorch* code on second generation Intel® Xeon® Scalable processor with Intel® Deep Learning Boost.
Authored by Nathan Greeneltch (Intel) Last updated on 08/15/2019 - 12:50
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Hello all! Happily, this article refers to the Intel® DevCloud! If you don't have access, sign up for it now.

Authored by Karl Fezer (Intel) Last updated on 09/05/2019 - 14:37