This issue of The Journal of Risk Model Validation features two papers that directly address validation using machine learning. Whether their findings imply we will all (including the editor) become ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

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

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