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

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...

Patients at primary care clinics received more dementia diagnoses after implementation of a machine-learning tool designed to ...

Serious segmentation is not a mere snapshot of the market. It plots and overlays multiple layers: data on strategic human ...

Xinjiang long-staple cotton is widely used in the production of high-end textiles due to its excellent quality. However, ...

Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

The Supreme Court on Monday handed over the investigation into the nationwide ‘digital arrest’ scam to the Central Bureau of Investigation (CBI), granting the agency sweeping powers to probe what ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Agenda-driven opinion mills, designed more to sway public opinion than serve the public, might be harder to spot if AI is used to make them sound more original and rational. So the race is on to stay ...

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