Supervised and Unsupervised learning

Nice article for Data newbies

dataaspirant

Wiki Supervised Learning Definition 

        Supervised learning is the Data mining task of inferring a function from labeled training data.The training data consist of a set of training examples. In supervised learning, each example is a pair consisting of an input object (typically a vector) and a desired output value (also called the supervisory signal). A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples. An optimal scenario will allow for the algorithm to correctly determine the class labels for unseen instances. This requires the learning algorithm to generalize from the training data to unseen situations in a “reasonable” way.

Wiki Unsupervised Learning Definition

In Data mining, the problem of unsupervised learning  is that of trying to find hidden structure in unlabeled data. Since the examples given to the learner are unlabeled, there…

View original post 495 more words