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Articles / Artificial Intelligence / Machine Learning
Posted 26 May 2017

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Solving Real-World Machine Learning Problems with Intel® Data Analytics Acceleration Library

26 May 2017CPOL10 min read
In this article, we will talk about criteria you can use to select correct algorithms based on two real-world machine learning problems that were taken from the well-known Kaggle platform used for predictive modeling and from analytics competitions where data miners compete to produce the best model

This article is in the Product Showcase section for our sponsors at CodeProject. These articles are intended to provide you with information on products and services that we consider useful and of value to developers.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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Intel Corporation
United States United States
You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth.

Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers and society.
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