Machine Learning - continue with "Supervised Machine Learning"

What is the definition of Machine Learning?

Machine Learning is the field of study that gives computers the ability to learn, think without being explicitly programmed - Arthur Samuel way back in 1959

“A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.” — Tom Mitchell, Carnegie Mellon University - 1997

What are some practical usages / applications of machine learning?

  1. data mining
  2. natural language processing
  3. image recognition
  4. expert systems
  5. Is this cancer?
  6. What is the market value of this house?
  7. Which of these people are good friends with each other?
  8. Will this rocket engine explode on take off?
  9. Will this person like this movie?
  10. Who is this?
  11. What did you say?
  12. How do you fly this thing?

What is the difference between supervised and unsupervised learning?

  1. Supervised machine learning: The program is “trained” on a pre-defined set of “training examples”, which then facilitate its ability to reach an accurate conclusion when given new data.
  2. Unsupervised machine learning: The program is given a bunch of data and must find patterns and relationships therein.
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