Introduction To Machine Learning

Machine Learning is referred to as the subset of Artificial Intelligence. It involves a machine being learned without programming it explicitly. In Machine Learning, machines try to improve their performance with the help of past experiences or by using training examples. The following chapter discusses Machine Learning, Selection of training set, Selection of target function, Selection of Function Approximation Algorithm, Perspectives and issues involved while building a machine learning system,In-sample and Out-of-sample error and Applications of Machine Learning.