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What is the definition of AI and how does it differ from machine learning?

Answer

Artificial Intelligence (AI) and Machine Learning (ML) are often used interchangeably, but they are actually distinct concepts
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AI is the broader term that refers to the general ability of computers to emulate human thought and perform tasks in real-world environments
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On the other hand, ML is a subset of AI that uses algorithms trained on data to produce models that can perform complex tasks
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Here are some key differences between AI and ML: Artificial Intelligence (AI):
  • Refers to the general ability of computers to emulate human thought and perform tasks in real-world environments
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  • Can analyze and contextualize data to provide information or automatically trigger actions without human interference
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  • Can mimic and go beyond human capabilities
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  • Includes several strategies and techniques to make machines more human-like
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Machine Learning (ML):
  • Is a subset of AI that uses algorithms trained on data to produce models that can perform complex tasks
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  • Allows machines to extract knowledge from data and learn from it autonomously
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  • Is the process of using mathematical models of data to help a computer learn without direct instruction
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  • Is distinguished by a machine or program that is fed and trained on existing data and then is able to find patterns, make predictions, or perform tasks when it encounters data it has never seen before
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In summary, AI is the broader concept of enabling a machine or system to sense, reason, act, or adapt like a human, while ML is an application of AI that allows machines to extract knowledge from data and learn from it autonomously.

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