January 15, 2021
Unsupervised learning is a class of machine learning problems where there is no target variable. The algorithm has to figure out on its own whether its the patterns it needs to detect i.e. there is no variable to supervise the learning process towards a particular set of patterns.
In many real world scenarios we need unsupervised learning for ex we want to group stores similar stores, irrespective of their performance in terms of sales, on the basis of store attributes (size, number of cash counters, parking space etc.), macro economic and demographic factors. Here there is no target variable that you’re trying to predict or that is dependent on other variables, but a set of independent variables. In such cases unsupervised learning is needed.
by : Monis Khan
Quick Summary:
Unsupervised learning is a class of machine learning problems where there is no target variable. The algorithm has to figure out on its own whether its the patterns it needs to detect i.e. there is no variable to supervise the learning process towards a particular set of patterns. In many real world scenarios we need […]