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

Two supervised machine learning methods, among them Support Vector Machine (SVM) and Artificial Neural Networks (ANN), are employed in Network Intrusion Detection to identify whether the data ...

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

Machine learning (ML) algorithms are techniques that allow computers to learn from the data without being explicitly programmed. ML techniques consist of hyperparameters that typically influence ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...