Enumerate differences between supervised and unsupervised learning?

  • One of the main differences between supervised machine learning and unsupervised learning is based on the use of the labelled dataset. Supervised machine learning uses labelled and known dataset as input, whereas unsupervised uses unknown and unlabeled dataset as input.
  • Another distinction between the two approaches is that supervised machine learning has a feedback mechanism whereas unsupervised machine learning does not.
  • Lastly, supervised machine learning and unsupervised machine learning can be differentiated on the basis of techniques. Supervised machine learning uses the technique of classification and regression to understand and analyze data. On the other hand, unsupervised machine learning uses the technique of clustering, association, and dimensionality reduction to assess the data.