Previous columns in this series introduced the problem of data protection in machine learning (ML), emphasizing the real challenge that operational query data pose. That is, when you use an ML system, ...
Discover how data collection in training, from cadet to captain, creates tremendous opportunities to understand how to train safer pilots, improve instructor quality and ensure the effectiveness of ...
Talent and learning development (L&D) teams are constantly being asked to do more with less. Whether it’s driving performance, ensuring skills are up to date or proving the value of training ...
Testing Machine Learning: Insight and Experience from Using Simulators to Test Trained Functionality
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...
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