Machine learning refers to the ability of computers to recognize patterns and arrive at decisions based on such assessment. It helps in a better analysis of data sets and thereby determining better predictions. The different concepts used under this field are deep learning, decision tree learning, clustering, reinforcement learning, sparse dictionary learning, rule-based machine learning, etc. This book is a valuable compilation of topics, ranging from the basic to the most complex theories and principles in the field of machine learning. The topics included in it are of utmost significance and bound to provide incredible insights to readers. The textbook is appropriate for those seeking detailed information in this area.