More than ninety percent of all scientific history has been made during the last half century. So far, however, only a fraction of historical scholarship has dealt with this period. Merely a decade ago, most scientific historians considered recent science - the scientific culture created, lived and remembered by contemporary scientists - an area of study best left to the historical actors themselves.

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The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.

Bringing together authorities on the history, historiography and methodology of recent and contemporary science, this book reviews the problems facing historians of technology, contemporary science and medicine and explores new ways forward.

As historians of science increasingly turn to work on recent (post 1945) science, the historiographical and methodological problems associated with the history of contemporary science are debated with growing frequency and urgency. Bringing together authorities on the history, historiography and methodology of recent and contemporary science, this book reviews the problems facing historians of technology, contemporary science and medicine, and explores new ways forward. With contributions from key researchers in the field, the text covers topics that will be of ever increasing interest to historians of post-war science, including the difficulties of accessing and using secret archival material, the interactions between archivists, historians and scientists, and the politics of evidence and historical accounts.

This book explores the dynamic relationship between science, technology and Japanese society, examining how it has contributed to economic growth and national well-being. It presents a synthesis of recent debates by juxtaposing competing views about the role and direction of science, technology and medical care in Japan. Topics discussed include government policy, the private sector and community responses; computers and communication; the automobile industry, the aerospace industry and quality control; the environment; consumer electronics; medical care; and the role of gender. This is an ideal introductory text for students in the sociology of science and technology, the history and philosophy of science, and Japanese studies. Up-to-date research and case studies make this an invaluable resource for readers interested in the nature of science and technology in the twenty-first century.

An introductory A-Z resource detailing the scientific achievements of the contemporary world and analyzing the key scientific trends, discoveries, and personalities of the modern age.