We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

Using a bunch of carrots to train a pony and rider. (Photo by: Education Images/Universal Images Group via Getty Images) Andrew Barto and Richard Sutton are the recipients of the Turing Award for ...

Q: What main themes of your chapter would you like readers to take away and bring back to their institutions and organizations? A: In my chapter, I ask whether the experience of the pandemic will help ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...