This chapter summarize and concludes the issues and challenges elaborated in different chapters using machine learning approaches presented by various authors. It identifies the importance of supervised and unsupervised learning algorithms establishing classification, prediction, clustering, security policies along with object recognition and pattern matching structures. A systematic position for future research and practice is also described in detail. This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems related to health, social and engineering applications.
