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Art by the Book
Sometime before 1579, Zhou Lujing, a professional writer living in a bustling commercial town in southeastern China, published a series of lavishly illustrated books, which constituted the first multigenre painting manuals in Chinese history. Their popularity was immediate and their contents and format were widely reprinted and disseminated in a number of contemporary publications. Focusing on Zhou's work, Art by the Book describes how such publications accommodated the cultural taste and demands of the general public, and shows how painting manuals functioned as a form in which everything from icons of popular culture to graphic or literary cliche was presented to both gratify and shape the sensibilities of a growing reading public. As a special commodity of early modern China, when cultural standing was measured by a person's command of literati taste and lore, painting manuals provided nonelite readers with a device for enhancing social capital.
Imperial Illusions
In the Forbidden City and other palaces around Beijing, Emperor Qianlong (r. 1736-1795) surrounded himself with monumental paintings of architecture, gardens, people, and faraway places. The best artists of the imperial painting academy, including a number of European missionary painters, used Western perspectival illusionism to transform walls and ceilings with visually striking images that were also deeply meaningful to Qianlong. These unprecedented works not only offer new insights into late imperial China’s most influential emperor, but also reflect one way in which Chinese art integrated and domesticated foreign ideas. In Imperial Illusions, Kristina Kleutghen examines all known survi...
Data-Intensive Text Processing with MapReduce
Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handl...
Knowledge Graphs
This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced ...
Lifelong Machine Learning, Second Edition
Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past he...
