Reinforcement learning is a type of machine learning where an agent learns by interacting with its environment and receiving feedback in the form of rewards or penalties.

Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice ...

The algorithm, known as Higashi, is based on hypergraph representation learning — the form of machine learning that can recommend music in an app and perform 3D object recognition.

What semi-supervised machine learning can do In practical terms, semi-supervised learning is valuable where you have a lot of data but not all of it is organized or labeled.

What does machine learning epoch actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.

Unless the crisis is dealt with, machine learning’s reputation could take a hit, he says. “I’m somewhat surprised that there hasn’t been a crash in the legitimacy of machine learning already.

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...