We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

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

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

Machine learning is based on the idea that a system can learn to perform a task without being explicitly programmed. Machine learning has a wide range of applications in the finance, healthcare, ...

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

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Machine learning and deep learning are both parts of artificial intelligence, but they work in different ways — like a smart student versus a super-specialised ...