Machine Learning - local and global data model presents a new and unified theory that tries to seamlessly integrate the different algorithms. In particular, this book distinguishes the nature of machine learning algorithms as a "local learning" or the theory is not only connects previous machine learning methods, or "global learning." Serves as a roadmap in various models, however? It also motivates a theory that can be learned from both local and global data. This book reviews current topics, new theories and applications. Kaizhu Huang is a researcher at Fujitsu Research and Development Center and currently a researcher at the Chinese University of Hong Kong.