This book offers students an introduction to the concepts of big data and artificial intelligence (AI) and their applications in the business world. It answers questions such as what are the main concepts of artificial intelligence and big data? What applications for artificial intelligence and big data analytics are used in the business field? It offers application-oriented overviews and cases from different sectors and fields to help readers discover and gain useful insights. Each chapter features discussion questions and summaries. To assist professors in teaching, the book supplementary materials will include answers to questions, and presentation slides.
Modality is a grammatical, or semantic-grammatical, category. It is an important component of human languages. This is at least the case in most European languages. To what extent is it a near-universal? This thesis is to contribute to the question. It focuses on modal verbs in English and Chinese, two genetically and geographically unrelated languages, and analyzes what these two languages have in common and how they differ in their systems of modality. To achieve the aim, the thesis adopts the theoretical framework proposed by van der Auwera (1996, 1998 with Plungian, 2001) for the typological study of modality. Its language-specific descriptions involve the morphosyntactic features, notional functions, modal logic, and diachronic development. With these descriptions, it constructs a cross-linguistic database in a uniform, parallel structure. Then on the basis of this database, it deals with the cross-linguistic issues about modality in English and Chinese. Like many of the studies in this area, this research makes use of the well-sampled data in the relevant literature, thereby assuring the same degree of representativeness. When the data do not meet this need, it resorts to computer-based corpora. In the diachronic study of Chinese modality, quantitative analysis is adopted in proposing a development path for the senses of a modal. English translation is given particular attention in the description of Chinese modality and cross-linguistic analyses. One can only know one's own language only if one compares it with other languages. The present study is conducive to a better understanding of English and Chinese. It contributes not only to the investigation of language universals, but also to the study of human cognition and other linguistic or applied linguistic issues.
This book represents the most important academic achievements won by Dr. Renzhi Hou, one of the founding fathers of and pioneering researchers in the modern historical geography of China. His collected papers and speeches, spanning from the 1940s to the 1990s, serve as a window into Hou’s academic experience as well as the development of the historical geography of China during the second half of the 20th century. Dr. Hou has made his greatest contributions mainly in two areas, namely, urban historical geography and desert historical geography. Roughly a quarter of this book is devoted to the former, and above all to the study of Beijing’s historical geography and its influence on urban planning. It is worth noting that “From Beijing to Washington—A Contemplation on the Concept of Municipal Planning,” presented here, is the only historical geography-based comparative study of a Chinese city and a Western one by a Chinese scholar. Dr. Hou’s studies on desert historical geography have garnered him a prominent reputation in the natural sciences academia. “Ancient City Ruins in the Deserts of the Inner Mongolia Autonomous Region of China,” also included here, can be considered a masterwork. Moreover, many of his original thoughts on some interesting topics can also be found in this book, such as the communication between China and Africa in ancient times, and the rediscovery of the value of geographical classics in the modern context.
This book offers students an introduction to the concepts of big data and artificial intelligence (AI) and their applications in the business world. It answers questions such as what are the main concepts of artificial intelligence and big data? What applications for artificial intelligence and big data analytics are used in the business field? It offers application-oriented overviews and cases from different sectors and fields to help readers discover and gain useful insights. Each chapter features discussion questions and summaries. To assist professors in teaching, the book supplementary materials will include answers to questions, and presentation slides.
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