Beginners Guide to the Three Types of Machine Learning - KDnuggets

Machine learning problems can generally be divided into three types. Classification and regression, which are known as supervised learning, and unsupervised learning which in the context of machine learning applications often refers to clustering. In the following article, I am going to give a brief introduction to each of these three problems and will include a walkthrough in the popular python library scikit-learn. Before I start I'll give a brief explanation for the meaning behind the terms supervised and unsupervised learning. Supervised Learning: In supervised learning, you have a known set of inputs (features) and a known set of outputs (labels).