Machine Learning

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Machine Learning Introduction Machine Learning is essentially to make predictions or behaviors based on data. Given a Machine Learning System , it will do a certain behavior or make predictions based on data. The data for a Machine Learning System entirely depends on the problem to be solved. Different problems, different datasets. The desired output usually falls into one of these categories:

  • prediction
  • clustering
  • classification
  • regression
  • recommendation

Some practical examples of problems that may be approached with Machine Learning algorithms are:

  • optical character recognition (OCR)
  • computer vision
  • search engines
  • speech recognition
  • recommender systems
  • financial market analysis