Machine learning

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Machine learning is a subset of artificial intelligence (AI). The goal of machine learning is to make algorithms more accurate and efficient.

Machine learning algorithms:

  • Supervised machine learning: The algorithm is given a set of input data and the desired output, which means it can compare its predictions with known outputs from the training set and adjust them accordingly to improve accuracy.
  • Unsupervised machine learning: where the algorithm receives no input data other than the desired output, it must search for patterns to learn which inputs should produce which outputs.
  • Semi-supervised machine learning: which is in between supervised and unsupervised, as it also asks for some input data, but does not require as much as supervised ML.

Pattern recognition is the most common method for machine learning. This is a process in which systems from dates learn and recognise patterns in order to make predictions. Pattern recognition is already being used successfully in many different areas, including medicine, marketing and also the construction industry.

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Machine learning