How Artificial intelligence, Machine Learning, and Deep Learning differ from each other?
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. |
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Sophia is a social humanoid robot developed by Hong Kong-based company Hanson Robotics. Sophia was first turned on on February 14, 2016, and made her first public appearance at South by Southwest Festival in mid-March 2016 in Austin, Texas, United States.
The robot, modeled after the ancient Egyptian Queen Nefertiti…