Machine Learning and Its Applications describes Machine Learning (ML) techniques and algorithms that have been used in recent research and real world application. The book gives an introduction to ML and describes the most widely used techniques and methods. It also covers Deep Learners and related areas, such as genetic algorithms. It offers real world examples where ML techniques are applied and describes how they can be implemented using different frameworks available as open source or commercial.