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EXPALIN HOW getting knowledge from information, BY USE machine learning techniques

EXPALIN HOW getting knowledge from information, BY USE machine learning techniques

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Machine learning is a subfield of computer science and artificial intelligence. It is a field which learns with the data. Machine learns from previous computations. It is a field which enables computers to act and make data driven decisions.

There are mainly two types of techniques:

  1. Supervised Learning :
  • In this technique input and output data is provided.
  • We also provide the algorithm
  • The data is labeled for classification to provide a learning basis for future data processing
  • Supervised learning also includes set of examples with paired input subject and desired output
  • For e.g. An AI system might be provided with labeled pictures of vehicles in categories such as cars and trucks.

  1. Unsupervised Learning:
  • In this technique information is neither classified nor labeled and allowing the algorithms to act on given input without guidance.
  • There is a group of unsorted information according and differences even though there are no categories provided.
  • Information is presented with unlabeled data and the systems algorithm
  • The output is depend on the coded algorithm
  • Subjecting a system to unsupervised learning is one way of testing AI.
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