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.

Are science and technology independent of one another? Is technology dependent upon science, and if so, how is it dependent? Is science dependent upon technology, and if so how is it dependent? Or, are science and technology becoming so interdependent that the line dividing them has become totally erased? This book charts the history of technoscience from the late nineteenth century to the end of the twentieth century and shows how the military–industrial–academic complex and big science combined to create new examples of technoscience in such areas as the nuclear arms race, the space race, the digital age, and the new worlds of nanotechnology and biotechnology.

"... an original, quirky, and illuminating collection of material concerning the relatively new and exciting field of technoscience studies.... T]he editors' choice of multiple approaches to the work of four major figures is wholly suited to clarifying their unorthodox and consequently somewhat elusive philosophical positions." --Robert Scharff Although often absent from the considerations of philosophers, sociologists, and anthropologists, the material dimension plays an important and even essential role in the practices of the sciences. Chasing Technoscience: Matrix for Materiality begins to redress this absence by bringing together four prominent figures who make technoscience, or science embodied in its technologies, a central theme of their work. Through lively personal interviews and substantive essays, the ideas of Andrew Pickering, Don Ihde, Donna Haraway, and Bruno Latour are brought to bear on the question of materiality in technoscience. The work of these theorists is then compared and critiqued in essays by colleagues. Chasing Technoscience is a ground-breaking, state-of-the-art look at current developments in technoscience.

This classic MUP text discusses the historical development of science, technology and medicine in Western Europe and North America from the Renaissance to the present. Combining theoretical discussion and empirical illustration, it redefines the geography of science, technology and medicine.

A study of science and technology practices that shows how even emergent aspects of research and development remain entangled with established hierarchies. In the last four decades, during which magnetic resonance imaging (MRI) has emerged as a cutting-edge medical technology and a cultural icon, technoscientific imaginaries and practices have undergone a profound change across the globe. Shifting transnational geography of tecchnoscientific innovations is making commonly deployed Euro/West-centric divides such as west versus non-west or “innovating north” versus “non-innovating south” increasingly untenable—the world is indeed becoming flatter. Nevertheless, such dualist divides, which are intimately tied to other dualist categories that have been used to describe scientific knowledge and practice, continue to undergird analyses and imaginaries of transnational technoscience. Imperial Technoscience puts into broad relief the ambivalent and contradictory folding of Euro/west-centrism with emergent features of technoscience. It argues, Euro/West-centric historicism, and resulting over-determinations, not only hide the vibrant, albeit hierarchical, transnational histories of technoscience, but also tell us little about shifting geography of technoscientific innovations. The book utilizes a deconstructive-empirical approach to explore “entangled” histories of MRI across disciplines (physics, chemistry, medicine, etc.), institutions (university, hospitals, industry, etc.), and nations (United States, Britain, and India). Entangled histories of MRI, it shows, better explain emergence and consolidation of particular technoscientific trajectories and shifts in transnational geography of science and technology (e.g. centers and peripheries).

Are science and technology independent of one another? Is technology dependent upon science, and if so, how is it dependent? Is science dependent upon technology, and if so how is it dependent? Or, are science and technology becoming so interdependent that the line dividing them has become totally erased? This book charts the history of technoscience from the late nineteenth century to the end of the twentieth century and shows how the military-industrial-academic complex and big science combined to create new examples of technoscience in such areas as the nuclear arms race, the space race, the digital age, and the new worlds of nanotechnology and biotechnology.

Research powers innovation and technoscientific advance, but it is due for a rethink, one consistent with its deeply holistic nature, requiring deeply human nurturing. Research is a deeply human endeavor that must be nurtured to achieve its full potential. As with tending a garden, care must be taken to organize, plant, feed, and weedÑand the manner in which this nurturing is done must be consistent with the nature of what is being nurtured. In The Genesis of Technoscientific Revolutions, Venkatesh Narayanamurti and Jeffrey Tsao propose a new and holistic system, a rethinking of the nature and nurturing of research. They share lessons from their vast research experience in the physical sciences and engineering, as well as from perspectives drawn from the history and philosophy of science and technology, research policy and management, and the evolutionary biological, complexity, physical, and economic sciences. Narayanamurti and Tsao argue that research is a recursive, reciprocal process at many levels: between science and technology; between questions and answer finding; and between the consolidation and challenging of conventional wisdom. These fundamental aspects of the nature of research should be reflected in how it is nurtured. To that end, Narayanamurti and Tsao propose aligning organization, funding, and governance with research; embracing a culture of holistic technoscientific exploration; and instructing people with care and accountability.

This book introduces the term of TechnoScienceSociety to focus on the ongoing technological reconfigurations of science and society. It aspires to use the breadth of Science and Technology Studies to perform a critical diagnosis of our contemporary culture. Instead of constructing technology as society’s “other”, the book sets out to highlight the both complex and ambivalent entanglements of technologies, sciences and socialities. It provides some tentative steps towards a diagnosis of a society in which individuals and organizations address themselves, their pasts, presents, futures, hopes and problems in technoscientific modes. Technosciences redesign matter, life, self and society. However, they do not operate independently: Technoscientific practices are deeply socially and culturally constituted. The diverse contributions highlight the ongoing technological reconfigurations of rationalities, infrastructures, modes of governance, and publics. The book aims to inspire scholars and students to think and analyze contemporary conditions in new ways drawing on, and expanding, the toolkits of Science and Technology Studies.

This open access edited book provides new thinking on scientific identity formation. It thoroughly interrogates the concepts of community and identity, including both historical and contemporaneous analyses of several scientific fields. Chapters examine whether, and how, today’s scientific identities and communities are subject to fundamental changes, reacting to tangible shifts in research funding as well as more intangible transformations in our society’s understanding and expectations of technoscience. In so doing, this book reinvigorates the concept of scientific community. Readers will discover empirical analyses of newly emerging fields such as synthetic biology, systems biology and nanotechnology, and accounts of the evolution of theoretical conceptions of scientific identity and community. With inspiring examples of technoscientific identity work and community constellations, along with thought-provoking hypotheses and discussion, the work has a broad appeal. Those involved in science governance will benefit particularly from this book, and it has much to offer those in scholarly fields including sociology of science, science studies, philosophy of science and history of science, as well as teachers of science and scientists themselves.

Technoculture is culture--such is the proposition posited in Technoscience and Cyberculture, arguing that technology's permeation of the cultural landscape has so irrevocably reconstituted this terrain that technology emerges as the dominant discourse in politics, medicine and everyday life. The problems addressed in Technoscience and Cyberculture concern the ways in which technology and science relate to one another and organize, orient and effect the landscape and inhabitants of contemporary culture.