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Human and Machine Learning
 https://www.slideshare.net/adeel02
 https://chauhantricks.blogspot.com/
 Human learning is a process of acquiring knowledge.
Our behavior, skills, values and ethics are acquired
when we process information through our minds and
learn.
 Human learning may occur as part of education,
personal development or any other informal/formal
training.
1) MOTIVATION/Responding to stimulus in the
environment.
2) BEGINNING PRACTICE/Doing it.
3) ADVANCED PRACTICE/Increasing in skill and
confidence.
4) SKILLFULNESS/Becoming creative.
5) REFINEMENT/Making further improvement.
6) MASTERY/Applying skills in broader ways.
 Age
 Motivation
 Prior Experience
 Intelligence
 Learning Disorders
Human and Machine Learning
 It is a branch of artificial intelligence. It is a scientific
discipline concerned with the design and
development of algorithms that allow computers to
evolve behaviors based on empirical data. Such as
from sensors and data bases.
 According to Tom M. Mitchell, a computer is said to
learn from experience E with respect to some class of
tasks T and performance measure P,if its performance
at tasks in T, as measured by P improves with
experience.
 Search Engines.
 Medical Diagnosis.
 Stock Market Analysis.
 Game Playing.
 Software Engineering.
 Robot locomotion(Movement from One place to
another place).
 Decision Tree Algorithm.
 Bayesian Classification Algorithm.
 Shortest Path Calculation Algorithm.
 Neural Network Algorithm.
 Genetic Algorithm.
 The word Artificial Intelligence comprises of two
words “Artificial” and “Intelligence”. Artificial refers to
something which is made by human or non natural
thing and Intelligence means ability to understand or
think.
 Machine Learning is the learning in which machine
can learn by its own without being explicitly
programmed. It is an application of AI that provide
system the ability to automatically learn and improve
from experience
Human and Machine Learning

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Human and Machine Learning

  • 3.  Human learning is a process of acquiring knowledge. Our behavior, skills, values and ethics are acquired when we process information through our minds and learn.  Human learning may occur as part of education, personal development or any other informal/formal training.
  • 4. 1) MOTIVATION/Responding to stimulus in the environment. 2) BEGINNING PRACTICE/Doing it. 3) ADVANCED PRACTICE/Increasing in skill and confidence. 4) SKILLFULNESS/Becoming creative. 5) REFINEMENT/Making further improvement. 6) MASTERY/Applying skills in broader ways.
  • 5.  Age  Motivation  Prior Experience  Intelligence  Learning Disorders
  • 7.  It is a branch of artificial intelligence. It is a scientific discipline concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data. Such as from sensors and data bases.
  • 8.  According to Tom M. Mitchell, a computer is said to learn from experience E with respect to some class of tasks T and performance measure P,if its performance at tasks in T, as measured by P improves with experience.
  • 9.  Search Engines.  Medical Diagnosis.  Stock Market Analysis.  Game Playing.  Software Engineering.  Robot locomotion(Movement from One place to another place).
  • 10.  Decision Tree Algorithm.  Bayesian Classification Algorithm.  Shortest Path Calculation Algorithm.  Neural Network Algorithm.  Genetic Algorithm.
  • 11.  The word Artificial Intelligence comprises of two words “Artificial” and “Intelligence”. Artificial refers to something which is made by human or non natural thing and Intelligence means ability to understand or think.  Machine Learning is the learning in which machine can learn by its own without being explicitly programmed. It is an application of AI that provide system the ability to automatically learn and improve from experience