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How Do Machine Learning Algorithms Handle Such Large Amounts Of Data?

#artificialintelligenceApr-11-2018, 19:12:22 GMT

How do Machine Learning algorithms handle such large amount of data in companies (or real-life cases)? Machine learning algorithms face two main constraints: Memory and processing speed. Let's talk about memory first, which is usually the most limiting constraint. A modern PC typically has something like 16 GB RAM. Consequently, it can load datasets up to a few GBs in memory, which means millions, if not billions, of data points. For many machine learning tasks, this is more than enough.

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AI-Alerts: 2018 > 2018-04 > AAAI AI-Alert for Apr 17, 2018 (1.00)

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Technology: Information Technology > Artificial Intelligence > Machine Learning (1.00)

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