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Artificial intelligence and Machine learning
Many people use machine learning and artificial intelligence interchangeably, but the terms have meaningful differences. Find out what they are and how AI is changing our world. Artificial intelligence (AI) and machine learning (ML) are often used interchangeably, but they are actually distinct concepts that fall under the same umbrella.
What's the difference between machine learning and AI?
In simplest terms, AI is computer software that mimics the ways that humans think in order to perform complex tasks, such as analyzing, reasoning, and learning. Machine learning, meanwhile, is a subset of AI that uses algorithms trained on data to produce models that can perform such complex tasks.
Most AI is performed using machine learning, so the two terms are often used synonymously, but AI actually refers to the general concept of creating human-like cognition using computer software, while ML is only one method of doing so.
Artificial Intelligence (AI) is an umbrella term for computer software that mimics human cognition in order to perform complex tasks and learn from them.
Machine learning (ML) is a subfield of AI that uses algorithms trained on data to produce adaptable models that can perform a variety of complex tasks.
Deep learning is a subset of machine learning that uses several layers within neural networks to do some of the most complex ML tasks without any human intervention.
