Expert Courses on Artificial Intelligence

The simplest approach to comprehend the difference between deep learning and machine learning is to remember the following: Not all machine learning is deep learning, and not all deep learning is machine learning.

There are numerous examples of machine learning and deep learning. It's how self-driving cars become a reality, how Netflix predicts which show you'll like to watch next, and how Facebook detects who is in a photo.

Although machine learning and deep learning are commonly used interchangeably, there are differences between the two. So, what are these two concepts that seem to dominate AI discussions, and how do they differ? Continue reading to find out.

Deep learning is a kind of machine learning in which algorithms are organized in layers to construct a "artificial neural network" that can learn and make decisions on its own.

Machine learning is an artificial intelligence application that consists of algorithms that parse data, learn from it, and then use what they've learnt to make better decisions.