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.

Introduction A few years ago, I was running demand forecasting models for work. The accuracy was decent, and the dashboard ...

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 A few years ago, I took over a demand forecasting model from a colleague who had left the company. The notebook ...