Difference between Supervised learning and Unsupervised learning.
Supervised learning: Inferring a function from labeled training data. Predictor measurements associated with a response measurement; we wish to fit a model that relates both for better understanding the relation between them (inference) or with the aim to accurately predicting the response for future observations (prediction). Supervised learning: support vector machines, neural networks, linear regression, logistic regression, extreme gradient boosting Supervised learning examples : Predict the price of a house based on the are, size.; churn prediction; predict the relevance of search engine results. Unsupervised learning: Inferring a function to describe hidden structure of unlabeled data. We lack a response variable that can supervise our analysis. Clustering, principal component analysis, singular value decomposition; identify group of customers. Unsupervised learning examples : find customer segments; image segmentation; classify US senators by thei...