The difference between AI, ML, and Deep Learning is given in the below table:
Artificial Intelligence | Machine Learning | Deep Learning |
---|---|---|
The term Artificial intelligence was first coined in the year 1956 by John McCarthy. | The term ML was first coined in the year 1959 by Arthur Samuel. | The term DL was first coined in the year 2000 Igor Aizenberg. |
It is a technology that is used to create intelligent machines that can mimic human behavior. | It is a subset of AI that learns from past data and experiences. | It is the subset of machine learning and AI that is inspired by the human brain cells, called neurons, and imitates the working of the human brain. |
AI completely deals with structured, semi-structured data. | ML deals with structured and semi-structured data. | Deep learning deals with structured and unstructured data. |
It requires a huge amount of data to work. | It can work with less amount of data compared to deep learning and AI. | It requires a huge amount of the data compared to the ML. |
The goal of AI is to enable the machine to think without any human intervention. | The goal of ML is to enable the machine to learn from past experiences. | The goal of deep learning is to solve the complex problems as the human brain does, using various algorithms. |