The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

A conversation with Professor Miraz Rahman, Head of the Department of Drug Discovery at King’s College London.

Incipient fault detection using AI classification represents a fundamental advancement in distribution system reliability engineering. By continuously analyzing waveform behavior and classifying ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...