Preface
As an important method of data analysis, machine learning technology has been widely used in academic and industrial circles. In particular, the development of cloud computing, logistics networks, big data, and quantum information has played an unprecedented role in promoting the globalization of machine learning. In modern data analysis, studying the technical level of computing may limit the whole process of scientific research. As an analogy, analyzing the physical properties of a material or the physical properties of molecular structures is quite hard to achieve through calculations alone. The fundamental reason is the deep relationship between these data structures and the semantic uncertainty, which makes it difficult to complete ...