Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?
Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are three words that are often used interchangeably to describe intelligent software.
Deep learning is a subset of machine learning, which is a subset of AI.
What is Artificial Intelligence
Any computer program that performs smart tasks is referred to as AI. Artificial intelligence (AI) is a technology that allows us to create intelligent systems that can mimic human intelligence. AI can refer to anything from a computer program playing chess, to a voice-recognition system like Alexa. It may be referred to as the output of a computer.
What is Machine Learning
It is a subset of AI. Machine learning is a branch of artificial intelligence that allows computers to learn from previous data and experience without being explicitly programmed. Nowadays many companies use machine learning to give their users a better experience. Machine learning is the process of parsing data, learning from it, and then making a decision or prediction about something in the real world.
What is Deep Learning
It is a subset of ML. It uses profound learning algorithms for the implicit conclusion of input-based data. DL algorithms are roughly inspired by the information processing patterns found in the human brain. It uses some machine learning techniques to solve real-world problems by tapping into neural networks that simulate human decision-making.
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