In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

User and entity behavior analytics can become a foundational tool for keeping pace with cybersecurity threats in the age of ...

An artificial intelligence (AI)-driven machine learning model was refined and validated internationally to accurately classify acute leukemia subtypes from routine laboratory data, according to Merlin ...

Mobile apps now offer practical ways to learn data science, from coding and statistics to machine learning, anytime and anywhere.Tools like QPyth ...

In my opinion, the future belongs instead to hyperspecialized AI models that are tailored to excel in hyper-specific domains.

Common use cases of AI in the supply chain illustrate the benefits for companies of integrating AI into their operations.