Hello I'm Sean, here to answer another "What is" question This time we're answering the question, what is the difference between Machine Learning and Deep Learning? Machine Learning and Deep Learning With the increasing use of AI in our everyday lives, you may have noticed the terms machine learning and deep learning being used quite a bit sometimes interchangeably. So, is there a difference between Machine Learning and Deep Learning, and if so what is it? Difference Between Machine Learning and Deep Learning The first thing to understand is that both Machine Learning and Deep learning are both types of AI, and that deep learning is a type of machine learning. So deep learning is a sub-type of machine learning which is itself a sub-type of artificial intelligence. The difference between these two types of AI that's usually brought up is in the kind of data that's presented to the AI. Structured Data Typically, a machine learning approach will require structured data, that is, data which contains labels for the things you want to identify. Machine Learning So, if I had a bunch of images of cats and mice, a person would need to sit down and label each image as either a cat or a mouse so that the machine learning algorithm could learn the difference between those examples. Now Deep Learning is a little bit different. If I had the same dataset, but didn't label any of the images, the deep learning algorithm would work the figure out the differences between the two CATegories and group them together. So even though it wouldn't explicitly know that one thing is a cat or a mouse, it would still be able to say "I think it's this thing or that thing".