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With its patchwork of secluded courtyards, gardens and narrow tree-lined streets, New York s Greenwich Village is one of the very few neighborhoods that still retains the charm and timelessness of old New York. In this overview of houses from the early nineteenth century to contemporary Modernist examples, Kevin Murphy explores the architecture and interiors of eighteen houses and two gardens located in what has become one of New York City s most exclusive and desirable residential communities. Beginning with the Robert Blum House (1827), "The Houses of Greenwich Village" traces the rich history behind each home and delves into the compelling biographies of its original owners and architects, revealing the evolution of structure, design, and style in the neighborhood throughout the nineteenth century, as well as its vibrant and at times eccentric character into the twentieth century. The stunning photographs by Paul Rocheleau were specially commissioned for this book and give readers unprecedented access to some of the most beautiful homes in New York."
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A beautifully illustrated volume on the Tudor-style house, a keystone in American interiors and architecture. Since its birth in sixteenth-century England, the Tudor-style house has been a favorite for homeowners from all walks of life. Hallmarks of the style include steeply pitched gables and roofs covered in slate or imitation thatch, bays of casement windows with diamond-paned leaded glass, clustered chimney stacks, interiors of wood paneling and plasterwork, and, especially, half-timbered and stuccoed facades. In the United States, prime examples can be found coast to coast, from the Tudor City apartment buildings of New York to the stately homes of Tuxedo Park; from the cozy, Prairie-in...
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers...
Colonial Revival Maine provides an account of how this interest in the classical influences of colonial- and federal-era buildings engaged the imagination of a group of architects and their draftsmen in the late nineteenth century. Together, these designers created the charming streetscapes and bucolic retreats that today dot the Maine coast."
It is not possible to be alive today in the United States without feeling the influence of the political climate on the spaces where people live, work, and form communities. Public Space/Contested Space illustrates the ways in which creative interventions in public space have constituted a significant dimension of contemporary political action, and how this space can both reflect and spur economic and cultural change. Drawing insight from a range of disciplines and fields, the essays in this volume assess the effectiveness of protest movements that deploy bodies in urban space, and social projects that build communities while also exposing inequalities and presenting new political narratives. With sections exploring the built environment, artists, and activists and public space, the book brings together the diverse voices to reveal the complexities and politicization of public space within the United States. Public Space/Contested Space provides a significant contribution to an understudied dimension of contemporary political action and will be a resource to students of urban studies and planning, architecture, sociology, art history, and human geography.
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developm...
A study of the townhouse as both a cultural phenomenon and as a important design type in American urban architecture looks at the unique design chracteristics, construction, and history of some of the nation's finest townhouses, including homes from Charleston, New York City, Brooklyn, St.
Modelling and Estimation of Damage in Structures is a comprehensiveguide to solving the type of modelling and estimation problems associated with the physics of structural damage. Provides a model-based approach to damage identification Presents an in-depth treatment of probability theory and random processes Covers both theory and algorithms for implementing maximum likelihood and Bayesian estimation approaches Includes experimental examples of all detection and identification approaches Provides a clear means by which acquired data can be used to make decisions regarding maintenance and usage of a structure
Of all building types, the skyscraper strikes observers as the most modern, in terms not only of height but also of boldness, scale, ingenuity, and daring. As a phenomenon born in late nineteenth-century America, it quickly became emblematic of New York, Chicago, and other major cities. Previous studies of these structures have tended to foreground examples of more evincing modernist approaches, while those with styles reminiscent of the great Gothic cathedrals of Europe were initially disparaged as being antimodernist or were simply unacknowledged. Skyscraper Gothic brings together a group of renowned scholars to address the medievalist skyscraper—from flying buttresses to dizzying spires...