A month after moving to the US, my bank account vanished without warning. The structural reasons behind mass debanking reveal ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Radeon Super Resolution (RSR) back at CES, and it has finally arrived in the latest driver. It uses the same upscaling ...

Today, those shouts have been replaced by quiet screens and lightning-fast computers. The evolution of stock trading has ...

Fintech is technology in finance. By “technology” today, I mean artificial intelligence. Artificial intelligence is ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...