Difference between AI and ML

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Difference between AI and ML

Artificial intelligence (AI) is any technology that enables a system to demonstrate human-like intelligence while machine learning (ML) is where a computer system is fed large amounts of data, which it then uses to learn how to carry out a specific task, such as understanding speech or captioning a photograph.

ARTIFICIAL INTELLIGENCE

MACHINE LEARNING

  • Machine learning is a category of techniques of artificial intelligence or the acquisition of knowledge or skill from AI.
  • ML is a way of getting computers to mimic human thoughts and decision-making in a way entirely different from the expert systems.
  • Machine learning allows a system to learn new things from data to increase accuracy to maximize performance.
  • ML manages influencing user's machine to gain from the external environment such as sensors, electronic segments, external storage gadgets, and numerous other devices.

REASON WHY AI AND ML ARE CONFUSED WITH ONE ANOTHER

  • Artificial intelligence (AI) stems directly from the study of computer science whereas machine learning (ML) is a subset of artificial intelligence, thus making them often confused with one another, but they are not the same.
  • The very current reason why AI and ML get used and confused in tandem is that ML can be considered as the modern idea of AI.
  • While traditional ML techniques are now conventional across industries and even taught in high school engineering classes, most companies add AI to their pitch or business plan creating confusion to software used by people.

RESEARCH STRATEGY

We leveraged a compilation of scientific publications, scientific studies, and news articles from company websites to come up with the difference between artificial intelligence and machine learning. We started the research by looking for sources that support the list of differences included in the scientific publication from Geeks for Geeks and created an overview based on the sources found. Specific data was available to adequately respond to the request as well as the reason why AI and ML are often confused with one another.
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