Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Tools like Google Trends, Twitter (X), and other social media platforms surfaced as dominant data sources. Researchers ...

Explore how AI predictive analytics reshapes industries by providing insights, forecasting trends, and enhancing ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

As companies rush to adopt new AI solutions, business leaders must understand the different types and how AI compares to ...

Many of us have wondered what a landscape we see in a modern photograph might have looked like centuries ago. This question ...

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Background Alexander disease is an autosomal dominant leukodystrophy caused by heterozygous pathogenic variants in the glial ...