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Revati S Misra

Revati S Misra

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Bhavesh Badani

Bhavesh Badani

21-Apr-2024

Artificial Intelligence (AI):

  • Definition: AI is the concept of creating smart, intelligent machines.
  • Explanation: It involves incorporating human-like intelligence into machines through algorithms. AI focuses on skills like learning, reasoning, and self-correction to achieve maximum efficiency.

Machine Learning (ML):

  • Definition: ML is a subset of AI that enables systems to learn automatically from experience without explicit programming.
  • Explanation: ML algorithms learn from data and improve themselves. They make observations, identify patterns, and make better decisions based on examples.

Deep Learning (DL):

  • Definition: DL is a subfield of ML that uses neural networks (similar to the neurons in our brain) to mimic human brain-like behavior.
  • Explanation: DL algorithms process vast amounts of data and classify information. They work on larger datasets than ML and are self-administered by machines.

In summary:

  • AI is the broader family, consisting of ML and DL as its components.
  • ML is a subset of AI that allows systems to learn from data.
  • DL is a subset of ML that uses deep neural networks to analyze data and provide output.
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