《完美阴谋》是一本揭示——珍珠港海战、诺曼底登陆、犹太复国、印巴分治、登月行动、“9·11“事件、中东战争、第二次海湾战争、墨西哥密电阴谋、英国邮轮“鲁西塔尼亚”号遭袭、美国种族歧视、肯尼迪遇刺、卢布骗局等重大历史事件背后不为人知的秘密的作品！
《完美阴谋》让我们对一连串的历史事件进行一番刨根问底！让我们看看那扇罗马之门的后面究竟隐藏着什么！让我们了解那些重大历史事件的背后有着怎样的“完美阴谋”！ 为了正义还是为了收获？谁杀了肯尼迪？阿拉法特为何在劫难逃？大国如何保住王冠？

Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries. Ancillary list: Instructor's Manual - http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123743886 Student Solutions Manual - http://www.elsevierdirect.com/product.jsp?isbn=9780123756862#42 Sample Chapter, eBook - http://www.elsevierdirect.com/product.jsp?isbn=9780123756862
New to this Edition: 65% new chapter material including coverage of finite capacity queues, insurance risk models and Markov chains Contains compulsory material for new Exam 3 of the Society of Actuaries containing several sections in the new exams Updated data, and a list of commonly used notations and equations, a robust ancillary package, including a ISM, SSM, test bank, and companion website Includes SPSS PASW Modeler and SAS JMP software packages which are widely used in the field Hallmark features: Superior writing style Excellent exercises and examples covering the wide breadth of coverage of probability topics Real-world applications in engineering, science, business and economics

The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous edition's publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges.
* Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. *Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems. Practical Planning. Planning and Acting. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For computer professionals, linguists, and cognitive scientists interested in artificial intelligence.

The Rise and Fall of the Great Powers: Economic Change and Military Conflict From 1500 to 2000, by Paul Kennedy, first published in 1987, explores the politics and economics of the Great Powers from 1500 to 1980 and the reason for their decline. It then continues by forecasting the positions of China, Japan, the European Economic Community (EEC), the Soviet Union and the United States through the end of the 20th century

For over thirty years David S. Landes's The Unbound Prometheus has offered an unrivalled history of industrial revolution and economic development in Europe. Now, in this updated edition, the author reframes and reasserts his original arguments in the light of debates about globalisation and comparative economic growth. The book begins with a classic account of the characteristics, progress, and political, economic and social implications of the Industrial Revolution in Britain, France and Germany. Professor Landes here raises the much-debated question: why was Europe the first to industrialise? He then charts the economic history of the twentieth-century: the effect of the First World War in accelerating the dissolution of the old international economy; the economic crisis of 1929-32; Europe's recovery and unprecedented economic growth following the Second World War. He concludes that only by continuous industrial revolution can Europe and the world sustain itself in the years ahead.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

《房龙地理》是一本关于“人”的地理书。房龙独到地从地理的角度来
描述各国或地区的历史演变，分析不同人群的性格特征，阐释人与地球——
我们唯一的、共同的家园——的关系。既然我们的行星“已经变成了一个巨
大的运转当中的公司”，生活于其中的人们只有合作——而不仅仅是“拿走
”，也不仅仅是“给予”——才能和平而有序。
房龙在《房龙地理》中没有限于讨论地球的自然特征，也没有罗列枯燥
的数字或堆砌深奥的词汇，而是把人作为重点，来探究人的生存命运，试图
寻找到人类幸福的共通之路。房龙用文学手法赋予知识以灵性，把自然地理
的规律和人文的千姿百态展现在读者面前。

Henry Kissinger offers in
a deep meditation on the roots of international harmony and global disorder. Drawing on his experience as one of the foremost statesmen of the modern era—advising presidents, traveling the world, observing and shaping the central foreign policy events of recent decades—Kissinger now reveals his analysis of the ultimate challenge for the twenty-first century: how to build a shared international order in a world of divergent historical perspectives, violent conflict, proliferating technology, and ideological extremism.
There has never been a true “world order,” Kissinger observes. For most of history, civilizations defined their own concepts of order. Each considered itself the center of the world and envisioned its distinct principles as universally relevant. China conceived of a global cultural hierarchy with the Emperor at its pinnacle. In Europe, Rome imagined itself surrounded by barbarians; when Rome fragmented, European peoples refined a concept of an equilibrium of sovereign states and sought to export it across the world. Islam, in its early centuries, considered itself the world’s sole legitimate political unit, destined to expand indefinitely until the world was brought into harmony by religious principles. The United States was born of a conviction about the universal applicability of democracy—a conviction that has guided its policies ever since.
Now international affairs take place on a global basis, and these historical concepts of world order are meeting. Every region participates in questions of high policy in every other, often instantaneously. Yet there is no consensus among the major actors about the rules and limits guiding this process, or its ultimate destination. The result is mounting tension.
Grounded in Kissinger’s deep study of history and his experience as National Security Advisor and Secretary of State,
guides readers through crucial episodes in recent world history. Kissinger offers a unique glimpse into the inner deliberations of the Nixon administration’s negotiations with Hanoi over the end of the Vietnam War, as well as Ronald Reagan’s tense debates with Soviet Premier Gorbachev in Reykjavík. He offers compelling insights into the future of U.S.–China relations and the evolution of the European Union, and examines lessons of the conflicts in Iraq and Afghanistan. Taking readers from his analysis of nuclear negotiations with Iran through the West’s response to the Arab Spring and tensions with Russia over Ukraine,
anchors Kissinger’s historical analysis in the decisive events of our time.
Provocative and articulate, blending historical insight with geopolitical prognostication,
is a unique work that could come only from a lifelong policymaker and diplomat.

Chosen by BusinessWeek as One of the Top Ten Business Books of the Year
With apologies to Hegel, Marx, and Lenin, the basic unit of modern society is neither the state, nor the commune, nor the party; it is the company. From this bold premise, John Micklethwait and Adrian Wooldridge chart the rise of one of history’s great catalysts for good and evil.
In a “fast-paced and well-written” work (Forbes), the authors reveal how innovations such as limitations on liability have permitted companies to rival religions and even states in importance, governing the flow of wealth and controlling human affairs–all while being largely exempt from the rules that govern our lives.
The Company is that rare, remarkable book that fills a major gap we scarcely knew existed. With it, we are better able to make sense of the past four centuries, as well as the events of today.

Paperback Edition What do flashlights, the British invasion, black cats, and seesaws have to do with computers? In CODE, they show us the ingenious ways we manipulate language and invent new means of communicating with each other. And through CODE, we see how this ingenuity and our very human compulsion to communicate have driven the technological innovations of the past two centuries. Using everyday objects and familiar language systems such as Braille and Morse code, author Charles Petzold weaves an illuminating narrative for anyone who s ever wondered about the secret inner life of computers and other smart machines. It s a cleverly illustrated and eminently comprehensible story and along the way, you ll discover you ve gained a real context for understanding today s world of PCs, digital media, and the Internet. No matter what your level of technical savvy, CODE will charm you and perhaps even awaken the technophile within.

Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences. Judea Pearl presents and unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and devises simple mathematical tools for studying the relationships between causal connections and statistical associations. Cited in more than 2,100 scientific publications, it continues to liberate scientists from the traditional molds of statistical thinking. In this revised edition, Judea Pearl elucidates thorny issues, answers readers' questions, and offers a panoramic view of recent advances in this field of research. Causality will be of interest to students and professionals in a wide variety of fields. Dr Judea Pearl has received the 2011 Rumelhart Prize for his leading research in Artificial Intelligence (AI) and systems from The Cognitive Science Society.

This new edition, now with a co-author, offers a complete and up-to-date examination of the field. The authors have streamlined previously tedious topics, such as multivariate regression and MANOVA techniques, to add newer, more timely content. Each chapter contains exercises, providing readers with the opportunity to test and extend their understanding. The new edition also presents several expanded topics in Kronecker product; prediction errors; maximum likelihood estimation; and selective key, but accessible proofs. This resource meets the needs of both statistics majors and those of students and professionals in other fields.

In The Art and Science of Java, Stanford professor and well-known leader in CS Education Eric Roberts emphasizes the student-friendly exposition that led to the success of The Art and Science of C. By following the recommendations of the Association of Computing Machinery's Java Task Force, this first edition text adopts a modern objects-first approach that introduces students to useful hierarchies from the very beginning. Packages are translated into a minimally complex collection of pedagogical resources that make it easier to teach Java while retaining the language's industrial strength.

From the reviews of the third edition: "The author’s goal for Mathematics and its History is to provide a “bird’s-eye view of undergraduate mathematics.” (p. vii) In that regard it succeeds admirably. ... Mathematics and its History is a joy to read. The writing is clear, concise and inviting. The style is very different from a traditional text. ... The author has done a wonderful job of tying together the dominant themes of undergraduate mathematics. ... While Stillwell does a wonderful job of tying together seemingly unrelated areas of mathematics, it is possible to read each chapter independently. I would recommend this fine book for anyone who has an interest in the history of mathematics. For those who teach mathematics, it provides lots of information which could easily be used to enrich an opening lecture in most any undergraduate course. It would be an ideal gift for a department’s outstanding major or for the math club president. Pick it up at your peril — it is hard to put down!" (Richard Wilders, MAA Reviews) From the reviews of the second edition: "This book covers many interesting topics not usually covered in a present day undergraduate course, as well as certain basic topics such as the development of the calculus and the solution of polynomial equations. The fact that the topics are introduced in their historical contexts will enable students to better appreciate and understand the mathematical ideas involved...If one constructs a list of topics central to a history course, then they would closely resemble those chosen here." (David Parrott, Australian Mathematical Society) "The book...is presented in a lively style without unnecessary detail. It is very stimulating and will be appreciated not only by students. Much attention is paid to problems and to the development of mathematics before the end of the nineteenth century... This book brings to the non-specialist interested in mathematics many interesting results. It can be recommended for seminars and will be enjoyed by the broad mathematical community." (European Mathematical Society) "Since Stillwell treats many topics, most mathematicians will learn a lot from this book as well as they will find pleasant and rather clear expositions of custom materials. The book is accessible to students that have already experienced calculus, algebra and geometry and will give them a good account of how the different branches of mathematics interact." (Denis Bonheure, Bulletin of the Belgian Society)

For courses in Image Processing and Computer Vision. Completely self-contained--and heavily illustrated--this introduction to basic concepts and methodologies for digital image processing is written at a level that truly is suitable for seniors and first-year graduate students in almost any technical discipline. The leading textbook in its field for more than twenty years, it continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing--e.g., image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description, and the fundamentals of object recognition. It focuses on material that is fundamental and has a broad scope of application.