Tag: cluster

The word “machine learning” sounds like a machine with robot appearance learning something. Actually, machine learning is very related to the user feeding large amount of training data into the machine to learn. The machine then will learn the pattern of the data and, as a result, can understand the data pattern and create a model. The model from machine learning basically can classify, cluster, and predict test data according to the training data.

There are three kinds of machine learning, supervised learning, unsupervised learning, and reinforcement learning. This article discusses supervised and unsupervised learning only.  Supervised learning can classify or predict test data from labeled training data. Supervised learning learns the labels of training dataset to classify or predict new dataset according to the variables. Supervised learning can do classification and regression. If the label is categorical, it is called classification. If the label is continuous number, it called regression.