说明: Statistical learning refers to a set of tools for modeling and understanding complex datasets. It is a recently developed area in statistics and blends with parallel developments in computer science and, in particular, machine learning. The field en <qq_21583515> 上传 | 大小:56mb
说明: All sciences of observation follow the same course. One begins by observing a phenomenon, then studies all associated circumstances, and finally, if the results of observation can be expressed numerically [Quetelet's italics], estimates the inten- s <qq_21583515> 上传 | 大小:45mb
说明: This book is meant to provide an introduction to vectors, matrices, and least squares methods, basic topics in applied linear algebra. Our goal is to give the beginning student, with little or no prior exposure to linear algebra, a good grounding in <qq_21583515> 上传 | 大小:6mb
说明: Matrix theory is one of the most fundamental tools of mathematics and science, and a number of classical books on matrix analysis have been written to explore this theory. As a higher order generalization of a matrix, the concept of tensors or hyper <qq_21583515> 上传 | 大小:783kb
说明: This series reflects the latest advances and applications in machine learning and pattern recognition through the publication of a broad range of reference works, textbooks, and handbooks. The inclu- sion of concrete examples, applications, and meth <qq_21583515> 上传 | 大小:474kb
说明: This series reflects the latest advances and applications in machine learning and pattern recognition through the publication of a broad range of reference works, textbooks, and handbooks. The inclu- sion of concrete examples, applications, and meth <qq_21583515> 上传 | 大小:18mb
说明: The series “Studies in Computational Intelligence” (SCI) publishes new develop- ments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design method <qq_21583515> 上传 | 大小:13mb
说明: The problem of text mining has gained increasing attention in recent years because of the large amounts of text data, which are created in a variety of social network, web, and other information-centric applica- tions. Unstructured data is the easie <qq_21583515> 上传 | 大小:7mb
说明: Modern applications in engineering and data science are increasingly based on multidimensional data of exceedingly high volume, variety, and structural richness. However, standard machine learning algo- rithms typically scale exponentially with data <qq_21583515> 上传 | 大小:9mb