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Intel® Data Analytics Acceleration Library

The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
Authored by James R. (Blackbelt) Last updated on 12/12/2018 - 18:00
Video

英特尔® 数据分析加速库(DAAL)

数据分析在各个行业和科技领域广泛运用,可帮助决策、查找各种模式、发现各种理论等。

Authored by Wei D. (Intel) Last updated on 01/18/2019 - 00:50
Blog post

Top Ten Intel® Software Developer Stories | October

Find out what's buzzing this month with the October Top Ten!
Authored by Carman, Vicky (Intel) Last updated on 12/12/2018 - 18:00
Article

Nervana’s Deep Learning Course

Nervana has joined Intel

Authored by admin Last updated on 03/20/2019 - 13:15
Blog post

Top Ten Intel® Software Developer Stories | November

November's Top Ten includes direct N-body simulation for Modern Code, creating an IoT pressure sensor, tips to getting started in AI, and a reason to leave the nest this month.
Authored by Carman, Vicky (Intel) Last updated on 12/12/2018 - 18:00
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.
Authored by Nguyen, Khang T (Intel) Last updated on 12/12/2018 - 18:00
Blog post

英特尔® 数据分析加速库

The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
Authored by James R. (Blackbelt) Last updated on 12/12/2018 - 18:00
Video

Optimizing Torch Performance for Intel® Xeon Phi Processor Webinar

Learn how machine learning/deep learning applications benefit from code modernization.

Authored by Last updated on 03/21/2019 - 12:40
File Wrapper

Optimize Machine Learning Workloads on Intel® Platforms

Authored by admin Last updated on 12/12/2018 - 18:08