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MACHINE LEARNING
J.B.POO MAHA VINU SHREE
• Artificial intelligence (AI) is often used to describe
machines that mimic "cognitive" functions that humans
associate with the human mind, such as "learning" and
"problem solving".
• Machine learning is an application of
artificial intelligence (AI) that provides systems the ability
to automatically learn and improve from experience
without being explicitly programmed.
• Deep learning is a subset of machine learning in artificial
MACHINE LEARNING (ML)
• ML is the scientific study of algorithms and statistical models that
computer systems use to perform a specific task without using
explicit instructions, relying on patterns and inference instead.
• It is seen as a subset of artificial intelligence.
• ML algorithms build a mathematical model based on sample data,
known as "training data", in order to make predictions or decisions.
• ML algorithms are used in a wide variety of applications, such
as email filtering and computer vision, effectively performing the task.
Thank You.!

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Machine learning

  • 2.
  • 3.
  • 4. • Artificial intelligence (AI) is often used to describe machines that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving". • Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. • Deep learning is a subset of machine learning in artificial
  • 5. MACHINE LEARNING (ML) • ML is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. • It is seen as a subset of artificial intelligence. • ML algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions. • ML algorithms are used in a wide variety of applications, such as email filtering and computer vision, effectively performing the task.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.