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Artificial Neural Networks (ANNs) can solve an extremely wide variety of problems, including virtually any problem reduceable to functions. Often ANNs are used to obtain forecasts, validate data, detect anomolies, research customer purchases, and manage[…]
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Underspecification is the failure to specify in enough detail, according to Wiktionary. In machine learning and AI, the underspecification of training samples can result in vastly different predictions for edge cases, even when very similar[…]
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Racism and gender bias can easily and inadvertently infect machine learning algorithms. One prime example examined what job applicants were most likely to be hired. However, bias is inherent in any decision-making system that involves[…]
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Numerous options are available for people trying to learn about data science. Better options tend to cost money. While self-paced learning can help introduce you to a topic and give you a foothold in the[…]
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Artificial neural networks help solve problems in data science. They imitate neural networks of the brain. Artificial neural networks help solve problems in data science. They model neural networks of the brain. Neurons function as organic[…]
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A look at how WTWH Media uses AI for AdvertisingOne frequently overlooked kind of data in the advertising realm is data about an anonymous audience. Web sites can track activity anonymously. While many companies track[…]
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