11. Consensus clustering for unsupervised learning is analogous to ensemble learning in supervised learning . 12. This tradeoff applies to all forms of supervised learning : structured output learning. 13. Among these, supervised learning approaches have been the most successful algorithms to date. 14. In such situations, semi-supervised learning can be of great practical value. 15. This type of learning model is an example of what is termed supervised learning . 16. Classification algorithms usually require a supervised learning stage. 17. I was reading the supervised learning article. 18. A wide range of supervised learning algorithms are available, each with its strengths and weaknesses. 19. The target variable is used in supervised learning algorithms but not in non-supervised learning. 20. The target variable is used in supervised learning algorithms but not in non-supervised learning .
