Hover over this diagram to see how a neural turing machine shifts its attention over its old memory values to create new values. Unfortunately, while there are a plethora of conferences and journals ...

For the rest of the data science world, explaining individual machine learning system decisions might not be a regulatory requirement, but I would argue it’s a best practice. And regulations are ...

As it currently stands, the vast majority of the AI advancements and applications you hear about refer to a category of algorithms known as machine learning (see "What is machine learning?").

Nitin Rakesh, CEO and managing director of Mphasis suggests explaining modelops this way. “By focusing on modelops, organizations can ensure machine learning models are deployed and maintained ...