Difference Between Artificial Intelligence and Machine Learning
Artificial intelligence and machine learning are two aspects of computer science that are linked. These two technologies are the most popular when it comes to developing intelligent systems. It is an important topic in the GATE CSE syllabus. Let us now check the difference between artificial intelligence and machine learning in the table below.
Key Difference Between Artificial Intelligence and Machine Learning
Artificial intelligence (AI) is a technology that allows machines to imitate human behaviour.
Machine learning is a subset of artificial intelligence that allows a machine to learn from prior data without having to design it directly.
AI is decision-making.
ML allows the system to learn new things.
It promotes intelligence.
It promotes knowledge.
The AI system is focused on increasing the probability of success.
The key concerns of machine learning are accuracy and patterns.
Weak AI, General AI, and Strong AI are the three forms of AI that may be classified based on their capabilities.
Supervised learning, Unsupervised Learning, and Reinforcement learning are the three primary categories of machine learning.
What is Artificial Intelligence?
The terms "Artificial" and "Intelligence" make up the term Artificial Intelligence. Artificial refers to something created by humans or a non-natural entity, whereas intelligence refers to the capacity to comprehend or think. The system makes use of artificial intelligence. There are numerous definitions of AI, one of which is "the study of how to teach computers such that computers can accomplish things that humans can do better at the moment."
Artificial intelligence systems do not need to be pre-programmed; instead, they employ algorithms that function in conjunction with their own intellect. It is an intelligence in which we aim to bring all of the capabilities of a person to a computer.
What is Machine Learning?
Machine learning refers to the ability of a machine to learn on its own without being explicitly programmed. It is an AI application that enables a system to automatically learn and develop as a result of its experiences. We can generate a program here by combining the program's input and output.
Without being explicitly coded, machine learning allows a computer system to generate predictions or make judgments based on past data. Machine learning makes use of a large quantity of structured and semi-structured data in order for a machine learning model to provide reliable results or make predictions based on it.
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