In his blockbuster new book, To Save America , former Speaker of the House and bestselling author Newt Gingrich issues a dire warning for America. By spending more than we can afford, sacrificing conservative values for the sake of easy answers, and electing the most liberal president ever, America is at risk for its very survival. Thanks to President Obama and his cohorts in ...(展开全部)

In Obama's Wars , Bob Woodward provides the most intimate and sweeping portrait yet of the young president as commander in chief. Drawing on internal memos, classified documents, meeting notes and hundreds of hours of interviews with most of the key players, including the president, Woodward tells the inside story of Obama making the critical decisions on the Afghanistan War, ...(展开全部)

In Obama's Wars , Bob Woodward provides the most intimate and sweeping portrait yet of the young president as commander in chief. Drawing on internal memos, classified documents, meeting notes and hundreds of hours of interviews with most of the key players, including the president, Woodward tells the inside story of Obama making the critical decisions on the Afghanistan War, ...(展开全部)

彼得·伯格（Peter Berger） 国际知名的社会学家、宗教学家，现象社会学主要代表人物，新保守主义的代言人之一。美国波士顿大学文化、宗教和世界事务研究所前主任，曾先后任教于纽约社会研究学院、北卡罗来纳大学等多所大学。伯格学术兴趣广泛，思路开阔，著作颇丰，在宗教、世俗化、多元性、“全球化的多样性”等方面均有论著，内容涉及社会学、宗教学、神学、经济学和政治学等诸多领域，在西方人文社科界引起了持久的关注和影响。与德国社会学家托马斯·卢克曼合著的《现实的社会构建》，被认为是知识社会学领域的里程碑式著作；所撰《神圣的帷幕：宗教社会学的基本理论要素》被奉为堪与韦伯《新教伦理与资本主义精神》相媲美的经典；代表作另有《知识社会学：社会实体的建构》《与社会学同游：人文主义视角》《疑之颂：如何信而不狂》等。 格雷斯·戴维（Grace Davie） 英国著名宗教社...(展开全部)

Europe is a relatively secular part of the world in global terms. Why is this so? And why is the situation in Europe so different from that in the United States? These are the key questions considered in this book; key questions (the theme) clearly articulated in the first chapter.Subsequent chapters explore the nature of Eurosecularity in more detail (the variations on the the...(展开全部)

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and ex...(展开全部)

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and ex...(展开全部)

Many historical processes exhibit recurrent patterns of change. Century-long periods of population expansion come before long periods of stagnation and decline; the dynamics of prices mirror population oscillations; and, states go through strong expansionist phases followed by periods of state failure, endemic sociopolitical instability, and territorial loss. Peter Turchin and ...(展开全部)

This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector m...(展开全部)