Supervised Learning
4)Supervised Learning Supervised Learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs. Here the mapping is done by the label data provided by the user There are many features there in the Supervised Learning. Some of them are Features of Supervised Learning Support vector machines * Linear regression * Logistic regression * Naive Bayes Linear Discriminant Analysis Decision Trees * K-Nearest Neighbors * Neural Networks * Similarity Learning Steps to do in Supervised Learning In order to solve a given problem of supervised learning, one has to perform the following steps: Determine the type of training examples. Before doing anything else, the user should decide what kind of data is to be used as a training set. In the case of handwriting analysis , for example, this might be a single handwritten character, an entire handwritten word, or an entire line of handwriting. Gather...