Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic of theirs. An ANN is a machine learning model. Like all machine learning ...

Overview Kaggle projects provide real-world experience in AI and machine learning.Participants gain practical skills in NLP, computer vision, and predictive mod ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

Data scientists are in high demand—and for good reason. Companies rely on them to turn large, messy datasets into insights ...

Background Research has shown that workers in non-standard (eg, temporary and part-time) employment experience poorer health ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

To raise public awareness, the Indian Academy of Neurology's runner group will organize a special run titled "Run for Brain." On Friday, a T-shirt launch ceremony for the event was held in Hall No. 7, ...