Abstract: With the rapid and tremendous growth of digital contents, personalized movie recommendations have become essential for enhancing the experience as well as interaction of users. However, ...

Introduction: Many studies have demonstrated that Machine Learning algorithms can predict students’ exam outcomes based on a variety of student data. Yet it remains a challenge to provide students ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

What if the programming language you rely on most is on the brink of a transformation? For millions of developers worldwide, Python is not just a tool, it’s a cornerstone of their craft, powering ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

1 Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China 2 Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts. Sticking to an exercise ...