Cambridge University eBooks

Computers now impact almost every aspect of our lives, from our social interactions to the safety and performance of our cars. How did this happen in such a short time? And this is just the beginning. . . . In this book, Tony Hey and Gyuri Ppay lead us on a journey from the early days of computers in the 1930s to the cutting-edge research of the present day that will shape computing in the coming decades. Along the way, they explain the ideas behind hardware, software, algorithms, Moore's Law, the birth of the personal computer, the Internet and the Web, the Turing Test, Jeopardy's Watson, World of Warcraft, spyware, Google, Facebook, and quantum computing. This book also introduces the fascinating cast of dreamers and inventors who brought these gre...

Since the mid-eighties, more audiences have been watching Hollywood movies at home than at movie theaters, yet little is known about just how viewers experience film outside of the multiplex. This is the first full-length study of how contemporary entertainment technologies and mediafrom cable television and VHS to DVD and the Internetshape our encounters with the movies and affect the aesthetic, cultural, and ideological definitions of cinema. Barbara Klinger explores topics such as home theater, film collecting, classic Hollywood movie reruns, repeat viewings, and Internet film parodies, providing a multifaceted view of the presentation and reception of films in U.S. households. Balancing industry history with theoretical and cultural analysis, she...

The fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics. This textbook for senior undergraduate and graduate data mining courses provides a broad yet in-depth overview of data mining, integrating related concepts from machine learning and statistics. The main parts of the book include exploratory data analysis, pattern mining, clustering, and classification. The book lays the basic foundations of these tasks, and also covers cutting-edge topics such as kernel methods, high-dimensional data analysis, and complex graphs and ...

Science and the Enlightenment is a general history of eighteenth-century science covering both the physical and life sciences. It places the scientific developments of the century in the cultural context of the Enlightenment and reveals the extent to which scientific ideas permeated the thought of the age. The book takes advantage of topical scholarship, which is rapidly changing our understanding of science during the eighteenth century. In particular it describes how science was organized into fields that were quite different from those we know today. Professor Hankins's work is a much needed addition to the literature on eighteenth-century science. His study is not technical; it will be of interest to all students of the Enlightenment and the hist...

Do you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to learn more about the core techniques used in computational biology and bioinformatics? Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This book also functions as a language reference ...