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When you think about how far and fast computer science has progressed in recent years, it's not hard to conclude that a seven-year old handbook may fall a little short of the kind of reference today's computer scientists, software engineers, and IT professionals need. With a broadened scope, more emphasis on applied computing, and more than 70 chap
The Founder's Dilemmas examines how early decisions by entrepreneurs can make or break a startup and its team. Drawing on a decade of research, including quantitative data on almost ten thousand founders as well as inside stories of founders like Evan Williams of Twitter and Tim Westergren of Pandora, Noam Wasserman reveals the common pitfalls founders face and how to avoid them.
Java Programming, From The Ground Up, with its flexible organization, teaches Java in a way that is refreshing, fun, interesting and still has all the appropriate programming pieces for students to learn. The motivation behind this writing is to bring a logical, readable, entertaining approach to keep your students involved. Each chapter has a Bigger Picture section at the end of the chapter to provide a variety of interesting related topics in computer science. The writing style is conversational and not overly technical so it addresses programming concepts appropriately. Because of the flexibile organization of the text, it can be used for a one or two semester introductory Java programming class, as well as using Java as a second language. The text contains a large variety of carefully designed exercises that are more effective than the competition.
Donald E. Knuth's seminal publications, such as Selected Papers on Fun and Games and Selected Paper on the Design of Algorithms, have earned him a loyal following among scholars and computer scientists, and his award-winning textbooks have becomes classics that are often given credit for shaping the field. In this volume, he explains and comments on the changes he has made to his work over the last twenty years in response to new technologies and the evolving understanding of key concepts in computer science. His commentary is supplemented by a full bibliography of his works and a number of interviews with Knuth himself, which shed light on his professional life and publications, as well as provide interesting biographical details. A giant in the field of computer science, Knuth has assembled materials that offer a full portrait of both the scientist and the man. The final volume of a series of his collected papers, Companion to the Papers of Donald Knuth is essential for the Knuth completist.
The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past tr...
Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.
The troubling ethics and politics of philanthropy Is philanthropy, by its very nature, a threat to today’s democracy? Though we may laud wealthy individuals who give away their money for society’s benefit, Just Giving shows how such generosity not only isn’t the unassailable good we think it to be but might also undermine democratic values. Big philanthropy is often an exercise of power, the conversion of private assets into public influence. And it is a form of power that is largely unaccountable and lavishly tax-advantaged. Philanthropy currently fails democracy, but Rob Reich argues that it can be redeemed. Just Giving investigates the ethical and political dimensions of philanthropy and considers how giving might better support democratic values and promote justice.
Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers. AI is becoming more and more a part of everyone's life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots, among other applications. The book's many diagrams and easy-to-understand descriptions of AI programs will help the casual reader gain an understanding of how these and other AI systems actually work. Its thorough (but unobtrusive) end-of-chapter notes containing citations to important source materials will be of great use to AI scholars and researchers. This book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries.
Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine learning problems of recent interest, including the lasso, sparse logistic regression, basis pursuit, covariance selection, support vector machines, and many others.
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