Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the naive Bayes regression ...

Hariprasad Sivaraman, USA Cloud platforms have become the foundation of modern digital infrastructure, supporting businesses, applications, and services at an unprecedented scale. However, ensuring ...

Humans are known to accumulate knowledge over time, which in turn allows them to continuously improve their abilities and ...

A machine learning model trained on electronic health record (EHR) data predicted progression to schizophrenia or bipolar ...

Recent research study focused on evaluating bias-mitigated predictive models of perinatal mood and anxiety disorders (PMADs) ...

A new study reveals that both humans and marmosets continue to adjust their behavior even after learning an optimal task ...

Thanks to its capacity to detect patterns and stay consistent, machine learning is a great tool for CNS behaviour studies.

Li likens the future role of teachers to that of an airline pilot, monitoring and guiding the process while AI handles the ...

Khatun, N. (2025) Evaluations of Machine Learning Algorithms Using Simulation Study. Open Journal of Statistics, 15, 41-52.

Researchers used machine learning models to predict preterm birth risk, identifying linear SVMs as the most accurate, with ...

Glaucoma is characterised by progressive vision loss due to retinal ganglion cell deterioration, leading to gradual visual field (VF) impairment. The standard VF test may be impractical in some cases, ...

Is ML Useful In Integration? You may (still) be wondering whether any of this stuff is actually useful in real-world ...