Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Individuals and societies face motivating, inspiring and potentially broad difficulties as a result of digitization and virtualization in education. Artificial intelligence and machine learning in ...