During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for "wide" data (p bigger than n), including multiple testing and false discovery rates.

Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science.
August 6, 2009 Author, Jon Kleinberg, was recently cited in the New York Times for his statistical analysis research in the Internet age.

This text, extensively class-tested over a decade at UC Berkeley and UC San Diego, explains the fundamentals of algorithms in a story line that makes the material enjoyable and easy to digest. Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal.

Evoking life in a small Mississippi River town, Tom Sawyer is Twain's hymn to the secure and fantastic world of boyhood and adventure.

A nonmeasure theoretic introduction to stochastic processes. Considers its diverse range of applications and provides readers with probabilistic intuition and insight in thinking about problems. This revised edition contains additional material on compound Poisson random variables including an identity which can be used to efficiently compute moments; a new chapter on Poisson approximations; and coverage of the mean time spent in transient states as well as examples relating to the Gibb's sampler, the Metropolis algorithm and mean cover time in star graphs. Numerous exercises and problems have been added throughout the text.

The major creations and developments in mathematics from the beginnings in Babylonia and Egypt through the first few decades of the twentieth century are presented with clarity and precision in this comprehensive historical study.

New York Times bestselling author Edward Dolnick brings to light the true story of one of the most pivotal moments in modern intellectual history—when a group of strange, tormented geniuses invented science as we know it, and remade our understanding of the world. Dolnick’s earth-changing story of Isaac Newton, the Royal Society, and the birth of modern science is at once an entertaining romp through the annals of academic history, in the vein of Bill Bryson’s A Short History of Nearly Everything, and a captivating exploration of a defining time for scientific progress, in the tradition of Richard Holmes’ The Age of Wonder.

Balancing conceptual and applied coverage of all aspects of the management and operation of services, "Service Management" has maintained the position as market leader through five previous editions. It is the most comprehensive and widely used introduction to service operations on the market, written by one of the top authorities on the subject, and it is designed to develop students' skills in both strategic and operational issues pertaining to services.New material on Professional Service Firms highlights IBM's initiative to establish a Service Science, Management, and Engineering discipline. The Sixth Edition also offers the latest information on Six-Sigma and RFID, as well as recent developments in other important industry topics. Text coverage spans both qualitative and quantitative aspects of service management and offers flexibility in courses, offering varying approaches to the study of service operations. The ancillary package includes student CD-ROM and Website that includes self-test quizzes, video clips, ServiceModel Software, and the Mortgage Service Game.

In this substantive yet accessible book, pioneering software designer Alexander Stepanov and his colleague Daniel Rose illuminate the principles of generic programming and the mathematical concept of abstraction on which it is based, helping you write code that is both simpler and more powerful.
If you’re a reasonably proficient programmer who can think logically, you have all the background you’ll need. Stepanov and Rose introduce the relevant abstract algebra and number theory with exceptional clarity. They carefully explain the problems mathematicians first needed to solve, and then show how these mathematical solutions translate to generic programming and the creation of more effective and elegant code. To demonstrate the crucial role these mathematical principles play in many modern applications, the authors show how to use these results and generalized algorithms to implement a real-world public-key cryptosystem.
As you read this book, you’ll master the thought processes necessary for effective programming and learn how to generalize narrowly conceived algorithms to widen their usefulness without losing efficiency. You’ll also gain deep insight into the value of mathematics to programming–insight that will prove invaluable no matter what programming languages and paradigms you use.
You will learn about
How to generalize a four thousand-year-old algorithm, demonstrating indispensable lessons about clarity and efficiency
Ancient paradoxes, beautiful theorems, and the productive tension between continuous and discrete
A simple algorithm for finding greatest common divisor (GCD) and modern abstractions that build on it
Powerful mathematical approaches to abstraction
How abstract algebra provides the idea at the heart of generic programming
Axioms, proofs, theories, and models: using mathematical techniques to organize knowledge about your algorithms and data structures
Surprising subtleties of simple programming tasks and what you can learn from them
How practical implementations can exploit theoretical knowledge

This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. Intended for first-year graduate students, this book can be used for students majoring in statistics who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations.

The semiautobiographical "Martin Eden" is the most vital and original character Jack London ever created. Set in San Francisco, this is the story of Martin Eden, an impoverished seaman who pursues, obsessively and aggressively, dreams of education and literary fame. London, dissatisfied with the rewards of his own success, intended Martin Eden as an attack on individualism and a criticism of ambition; however, much of its status as a classic has been conferred by admirers of its ambitious protagonist. Andrew Sinclair's wide-ranging introduction discusses the conflict between London's support of socialism and his powerful self-will. Sinclair also explores the parallels and divergences between the life of Martin Eden and that of his creator, focusing on London's mental depressions and how they affected his depiction of Eden.

From the author of the immensely influential and best-selling Of Paradise and Power— a major reevaluation of America’s place in the world from the colonial era to the turn of the twentieth century.
Robert Kagan strips away the myth of America’s isolationist tradition and reveals a more complicated reality: that Americans have been increasing their global power and influence steadily for the past four centuries. Even from the time of the Puritans, he reveals, America was no shining “city up on a hill” but an engine of commercial and territorial expansion that drove Native Americans, as well as French, Spanish, Russian, and ultimately even British power, from the North American continent. Even before the birth of the nation, Americans believed they were destined for global leadership. Underlying their ambitions, Kagan argues, was a set of ideas and ideals about the world and human nature. He focuses on the Declaration of Independence as the document that firmly established the American conviction that the inalienable rights of all mankind transcended territorial borders and blood ties. American nationalism, he shows, was always internationalist at its core. He also makes a startling discovery: that the Civil War and the abolition of slavery—the fulfillment of the ideals of the Declaration—were the decisive turning point in the history of American foreign policy as well. Kagan's brilliant and comprehensive reexamination of early American foreign policy makes clear why America, from its very beginning, has been viewed worldwide not only as a wellspring of political, cultural, and social revolution, but as an ambitious and, at times, dangerous nation.

The future obviously matters to us. It is, after all, where we'll be spending the rest of our lives. We need some degree of foresight if we are to make effective plans for managing our affairs. Much that we would like to know in advance cannot be predicted. But a vast amount of successful prediction is nonetheless possible, especially in the context of applied sciences such as medicine, meteorology, and engineering. This book examines our prospects for finding out about the future in advance. It addresses questions such as why prediction is possible in some areas and not others; what sorts of methods and resources make successful prediction possible; and what obstacles limit the predictive venture.Nicholas Rescher develops a general theory of prediction that encompasses its fundamental principles, methodology, and practice and gives an overview of its promises and problems. Predicting the future considers the anthropological and historical background of the predictive enterprise. It also examines the conceptual, epistemic, and ontological principles that set the stage for predictive efforts. In short, Rescher explores the basic features of the predictive situation and considers their broader implications in science, in philosophy, and in the management of our daily affairs.

....The most comprehensive guide to designing practical and efficient algorithms....
Written by a well-known algorithms researcher who received the IEEE Computer Science and Engineering Teaching Award, this new edition of The Algorithm Design Manual is an essential learning tool for students needing a solid grounding in algorithms, as well as a special text/reference for professionals who need an authoritative and insightful guide. Professor Skiena is also author of the popular Springer text, Programming Challenges: The Programming Contest Training Manual.

Based on the author's seminal article in Foreign Affairs, Samuel P. Huntington's The Clash of Civilizations and the Remaking of World Order is a provocative and prescient analysis of the state of world politics after the fall of communism. In this incisive work, the renowned political scientist explains how "civilizations" have replaced nations and ideologies as the driving force in global politics today and offers a brilliant analysis of the current climate and future possibilities of our world's volatile political culture.

Here's a systems engineering-level introduction to the growing field of information Warfare (IW) -- the battlefield where information is both target and weapon.