What is the difference between artificial intelligence and machine learning?
The opinion of a Swiss IT service provider on the subject of 'Difference between artificial intelligence and machine learning'.
The terms "machine learning" and "artificial intelligence" are often used interchangeably, but they are actually quite different. Machine learning is a subfield of artificial intelligence and refers to the process of teaching computers to learn from data without being explicitly programmed. Artificial intelligence, on the other hand, is the broader field of developing computers that can do things that normally require human intelligence, such as understanding natural language and recognising objects.
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What is AI?
Artificial intelligence is the process of making a computer system "intelligent", i.e. enabling it to understand complex tasks and execute complex commands. AI research is divided into sub-areas such as machine learning, natural language processing and computer vision.
What is machine learning?
Machine learning is a process of teaching computers to learn from data without being explicitly programmed. It is a subfield of artificial intelligence (AI), which is broadly concerned with making computers "intelligent". Machine learning algorithms can automatically improve as they receive more data.
AI vs. machine learning
The terms "artificial intelligence" (AI) and "machine learning" (ML) cause a lot of confusion. Many people use them synonymously, but they are actually two different things.
AI is the umbrella term for all technologies that enable machines to do things that normally require human intelligence, such as understanding natural language and recognising objects. ML is a subfield of AI that involves teaching computers to learn from data without being explicitly programmed.
So AI is about giving machines the ability to think for themselves, whereas ML is about teaching them to learn on their own.