BOT or NOT? This special series explores the evolving relationship between humans and machines, examining the ways that robots, artificial intelligence and automation are impacting our work and lives.

Why is machine learning so hard to explain? Making it clear can help with stakeholder buy-in Your email has been sent Getty Images/iStockphoto More must-read AI coverage ‘Catastrophic’ Stakes: OpenAI ...

If you’re a data scientist or you work with machine learning (ML) models, you have tools to label data, technology environments to train models, and a fundamental understanding of MLops and modelops.

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using cross-functional pods that helped a client save $300M by accurately predicting demand.

Python libraries that can interpret and explain machine learning models provide valuable insights into their predictions and ensure transparency in AI applications. A Python library is a collection of ...

In “The Adventure of the Silver Blaze,” Sherlock Holmes famously solved a case not by discovering a clue–but by noting its absence. In that case, it was a dog that didn’t bark, and that lack of ...

Machine learning, one of the driving components of artificial intelligence, has emerged as a leading factor in digital business transformation. As enterprises seek to harness the oceans of data and ...

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