Unsupervised Machine Learning: What is, Algorithms, Example
By Prof. João Cláudio Nunes Carvalho What is Unsupervised Learning? Unsupervised Learning is a machine learning technique in which the users do not need to supervise the model. Instead, it allows the model to work on its own to discover patterns and information that was previously undetected. It mainly deals with the unlabelled data.] Unsupervised Learning Algorithms Unsupervised Learning Algorithms allow users to perform more complex processing tasks compared to supervised learning. Although, unsupervised learning can be more unpredictable compared with other natural learning methods. Unsupervised learning algorithms include clustering, anomaly detection, neural networks, etc. Example of Unsupervised Machine Learning Let's, take an example of Unsupervised Learning for a baby and her family dog. She knows and identifies this dog. Few weeks later a family friend brings along a dog and tries to play with the baby. Baby has not seen this dog earlier. But it recognizes many features
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