How Machines Learn and Why Artificial Intelligence Is Not Intelligent

Supervised learning: this class of machine learning requires that a data scientist gives the algorithms an input that includes labeled training data. The variables which the algorithm needs to assess and correlate are also defined. This gives birth to a specific output. In this case, the algorithm has specified input and output. Unsupervised learning: this class of machine learning includes algorithms which are trained on unlabeled data.