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LEARNING
Submitted to:
Mam Ayesha Anwar_ul_Haq
Presented By:
Mansoor Fareed
Muazam Hussain
Sohaib Rafi sb
PLAN OF PRESENTATION
 What is learning
 What is Machine learning
 Why do we want Machine learning
WHAT IS LEARNING
LEARNING CAN BE DESCRIBED AS NORMALLY A RELATIVELY PERMANENT CHANGE
THAT OCCURS
IN BEHAVIOR AS A RESULT OF EXPERIENCE. LEARNING OCCURS IN VARIOUS REGIMES.
FOR
EXAMPLE, IT IS POSSIBLE TO LEARN TO OPEN A LOCK AS A RESULT OF TRIAL AND
ERROR;
POSSIBLE TO LEARN HOW TO USE A WORD PROCESSOR AS A RESULT OF FOLLOWING
PARTICULAR
INSTRUCTIONS.
"LEARNING DENOTES CHANGES IN A SYSTEM THAT ... ENABLES A
SYSTEM TO DO THE
SAME TASK MORE EFFICIENTLY THE NEXT TIME." --HERBERT SIMON
• "LEARNING IS CONSTRUCTING OR MODIFYING REPRESENTATIONS
OF WHAT IS BEING
EXPERIENCED." --RYSZARD MICHALSKI
• "LEARNING IS MAKING USEFUL CHANGES IN OUR MINDS." --
MARVIN MINSKY
WHAT IS MACHINE LEARNING
• learning is an important aspect or component of intelligence
•
It is little bit difficult to define precisely what machine learning is
• Activities that we want a machine to do when we say learning and by deciding on the
best possible mechanism to enable us to perform those activities.
• The goal of machine learning is to build computer systems that can learn from their
experience and adapt to their environments.
WHY DO WE WANT MACHINE LEARNING
ONE RESPONSE TO THE IDEA OF AI IS TO SAY THAT COMPUTERS CAN NOT THINK BECAUSE
THEY ONLY DO WHAT THEIR PROGRAMMERS TELL THEM TO DO. HOWEVER, IT IS NOT ALWAYS
EASY TO TELL WHAT A PARTICULAR PROGRAM WILL DO, BUT GIVEN THE SAME INPUTS AND
CONDITIONS IT WILL ALWAYS PRODUCE THE SAME OUTPUTS. IF THE PROGRAM GETS SOMETHING
RIGHT ONCE IT WILL ALWAYS GET IT RIGHT. IF IT MAKES A MISTAKE ONCE IT WILL ALWAYS MAKE
THE SAME MISTAKE EVERY TIME IT RUNS. IN CONTRAST TO COMPUTERS, HUMANS LEARN FROM
THEIR MISTAKES; ATTEMPT TO WORK OUT WHY THINGS WENT WRONG AND TRY ALTERNATIVE
SOLUTIONS.
Also, we are able to notice similarities between things, and therefore can generate new
ideas about the world we live in. Any intelligence, however artificial or alien, that did not
learn would not be much of an intelligence. So, machine learning is a prerequisite for
any mature programmer of artificial intelligence.
ANY QUESTION??????????

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Learnig describes with Machine learning

  • 1. LEARNING Submitted to: Mam Ayesha Anwar_ul_Haq Presented By: Mansoor Fareed Muazam Hussain Sohaib Rafi sb
  • 2. PLAN OF PRESENTATION  What is learning  What is Machine learning  Why do we want Machine learning
  • 3. WHAT IS LEARNING LEARNING CAN BE DESCRIBED AS NORMALLY A RELATIVELY PERMANENT CHANGE THAT OCCURS IN BEHAVIOR AS A RESULT OF EXPERIENCE. LEARNING OCCURS IN VARIOUS REGIMES. FOR EXAMPLE, IT IS POSSIBLE TO LEARN TO OPEN A LOCK AS A RESULT OF TRIAL AND ERROR; POSSIBLE TO LEARN HOW TO USE A WORD PROCESSOR AS A RESULT OF FOLLOWING PARTICULAR INSTRUCTIONS.
  • 4. "LEARNING DENOTES CHANGES IN A SYSTEM THAT ... ENABLES A SYSTEM TO DO THE SAME TASK MORE EFFICIENTLY THE NEXT TIME." --HERBERT SIMON • "LEARNING IS CONSTRUCTING OR MODIFYING REPRESENTATIONS OF WHAT IS BEING EXPERIENCED." --RYSZARD MICHALSKI • "LEARNING IS MAKING USEFUL CHANGES IN OUR MINDS." -- MARVIN MINSKY
  • 5. WHAT IS MACHINE LEARNING • learning is an important aspect or component of intelligence • It is little bit difficult to define precisely what machine learning is • Activities that we want a machine to do when we say learning and by deciding on the best possible mechanism to enable us to perform those activities. • The goal of machine learning is to build computer systems that can learn from their experience and adapt to their environments.
  • 6. WHY DO WE WANT MACHINE LEARNING ONE RESPONSE TO THE IDEA OF AI IS TO SAY THAT COMPUTERS CAN NOT THINK BECAUSE THEY ONLY DO WHAT THEIR PROGRAMMERS TELL THEM TO DO. HOWEVER, IT IS NOT ALWAYS EASY TO TELL WHAT A PARTICULAR PROGRAM WILL DO, BUT GIVEN THE SAME INPUTS AND CONDITIONS IT WILL ALWAYS PRODUCE THE SAME OUTPUTS. IF THE PROGRAM GETS SOMETHING RIGHT ONCE IT WILL ALWAYS GET IT RIGHT. IF IT MAKES A MISTAKE ONCE IT WILL ALWAYS MAKE THE SAME MISTAKE EVERY TIME IT RUNS. IN CONTRAST TO COMPUTERS, HUMANS LEARN FROM THEIR MISTAKES; ATTEMPT TO WORK OUT WHY THINGS WENT WRONG AND TRY ALTERNATIVE SOLUTIONS. Also, we are able to notice similarities between things, and therefore can generate new ideas about the world we live in. Any intelligence, however artificial or alien, that did not learn would not be much of an intelligence. So, machine learning is a prerequisite for any mature programmer of artificial intelligence.