Fundamentals theory of machine learning techniques, such as the use of search and what is or is not learnable; commonly used learning algorithms; decision tree learning, neural network learning, Bayesian network learning, support vector machines, genetic algorithms, clustering and reinforcement learning. Application of machine learning to solve problems, case studies, and review of current machine learning literature.