"Machine Learning (ML) has become a very important area of research widely used in various industries. This compendium introduces the basic concepts, fundamental theories and essential computational techniques related to ML models. With most essential basics and a strong foundation, one can comfortably learn related topics, methods, and algorithms. Most importantly, readers with strong fundamentals can even develop innovative and more effective machine models for their problems. The book is written to achieve this goal. The useful reference text benefits professionals, academics, researchers, graduate and undergraduate students in AI, ML and neural networks"--.