One of the challenges with existing fraud detection systems is that they are primarily rules-based, using predefined notions of what constitutes fraudulent or suspicious behavior. The problem is that ...

Researchers have combined blockchain-based customer authentication with an ensemble of three machine learning classifiers to ...

A bibliometric and LDA topic modeling study of 18,625 open access AI papers reveals India's explosive research growth since 2018 and a decisive shift toward deep learning and healthcare ...

Unsupervised learning is a type of machine learning (ML) technique that uses artificial intelligence (AI) algorithms to identify patterns in data sets that are neither classified nor labeled.

Artificial intelligence (AI) has made remarkable strides in recent years, particularly in its ability to reason. At the heart of this evolution are new technologies like neural networks and large ...

Introduction I first started working with machine learning in earnest when I took on a small project to classify internal inquiry logs. I managed to get scikit-learn code running by piecing together ...