The problem of unsupervised learning is that there is no easy way to tell a machine what the right answer is. This is in contrast to supervised learning, where we have a dataset with known correct labels. In unsupervised learning, the machine must find structure in data on its own. There are many ways to…
Tag: unsupervised-learning
Systems that can identify potentially hazardous materials or substances
There are many ways in which artificial intelligence (AI) can be used to identify potentially hazardous materials or substances. One way is to use machine learning algorithms to train a model to recognise patterns in data that indicate the presence of a hazardous material or substance. Another way is to use neural networks to identify…