Question: Are AI (Artificial intelligence), Machine Learning, and Deep Learning the same concepts?

Deep learning and machine learning are ways of achieving AI. They are considered by many to be the same concept, but in fact they are different. Below, we try to explain the differences:

AI (Artificial Intelligence): AI is not the same as Machine learning or deep learning. Deep learning and machine learning both are considered the subsets of AI. Generally, AI is a computer program that is able to act similar to a human brain, in a way the brain works, thinks, and functions.

Machine Learning: Machine learning is somehow similar to data mining, which is a technique of examining a large database and extracting new information. Machine Learning is a technique of learning from that data and then apply what we have learned to make an informed decision. Many companies use machine learning to give their customers a better experience, such as Netflix who uses machine learning to give smart suggestions to their customers of movies or TV shows that they would like to watch, or Amazon who uses machine learning to give product recommendations based on their preferences.

Deep Learning: Deep learning is a subset of machine learning. The difference is the number of hidden layers used in deep learning is much more than machine learning. If a machine learning model ends up with an inaccurate prediction then the program or model needs to be fixed or improved, however, in the case of deep learning, the model does it by himself. Self-driving car is a good example of deep learning.