As we mentioned previously, people often learn something without being given instructions to do so. They can find patterns by themselves and apply their own findings to the new observations naturally. This may be due to our creativity and our motivation to make meaningful progress in terms of the knowledge we seek. When we looked into machine learning algorithms, we learned that they need to be trained with a given target value. Due to this, you may have come to the assumption that computers don't learn anything unless they're provided with answers by a human.
Unsupervised learning is a type of machine learning problem that finds specific patterns spontaneously without getting the answers in the training phase. This sort of problem emerges not only when we don't have any clear answer to predict, but also when the purpose is not predicting...
