Dataquest : Deep Learning vs Machine Learning -- The Difference Explained!

With the ever-growing applications of Artificial Intelligence (AI) like ChatGPT passing an MBA-level exam or AI-generated art allowing architects to conceptualize and design buildings, the terms machine learning (ML) and deep learning (DL) are everywhere. But what do these two terms mean? Unfortunately, we might sometimes see these terms being used interchangeably, which could be confusing to budding data professionals. Machine learning is a subset of AI that allows a computer system to automatically make predictions or decisions without being explicitly programmed to do so. Deep Learning, on the other hand, is a subset of ML that uses artificial neural networks to solve more complex problems that machine learning algorithms might be ill-equipped for.