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 ...

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

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 ...

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

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 ...