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Andrew Lau and Alan Mak's Infernal Affairs - The Trilogy
Infernal Affairs has received journalistic, popular and corporate notice but little vigorous critical attention. In this book, Gina Marchetti explores the way this example of Hong Kong's cinematic eclecticism has crossed borders as a story, a commercial product and a work of art; and has had an undeniable impact on current Hong Kong cinema. Moreover, she uses this trilogy to highlight the way Hong Kong cinema continues to be inextricably intertwined with global film culture and the transnational movie market. Infernal Affairs served as the source for the Academy Award-winning film The Departed (2006). The Martin Scorsese-directed film won Oscars for best motion picture, director, adapted screenplay and film editing. This is the first time that an American film based on a Hong Kong production swept the Academy Awards by winning four top prizes.
Language Contact
TRENDS IN LINGUISTICS is a series of books that open new perspectives in our understanding of language. The series publishes state-of-the-art work on core areas of linguistics across theoretical frameworks as well as studies that provide new insights by building bridges to neighbouring fields such as neuroscience and cognitive science. TRENDS IN LINGUISTICS considers itself a forum for cutting-edge research based on solid empirical data on language in its various manifestations, including sign languages. It regards linguistic variation in its synchronic and diachronic dimensions as well as in its social contexts as important sources of insight for a better understanding of the design of linguistic systems and the ecology and evolution of language. TRENDS IN LINGUISTICS publishes monographs and outstanding dissertations as well as edited volumes, which provide the opportunity to address controversial topics from different empirical and theoretical viewpoints. High quality standards are ensured through anonymous reviewing.
Te Ika a Maui
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Learning Data Science
As an aspiring data scientist, you appreciate why organizations rely on data for important decisions--whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scient...
Learning Data Science
As an aspiring data scientist, you appreciate why organizations rely on data for important decisions--whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scient...
