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.

The relationship of the current technosciences and the older engineering sciences, examined through the history of the “useful” sciences in Prussia. Do today's technoscientific disciplines—including materials science, genetic engineering, nanotechnology, and robotics—signal a radical departure from traditional science? In Technoscience in History, Ursula Klein argues that these novel disciplines and projects are not an “epochal break,” but are part of a history that can be traced back to German “useful” sciences and beyond. Klein's account traces a deeper history of technoscience, mapping the relationship between today's cutting-edge disciplines and the development of the useful and technological sciences in Prussia from 1750 to 1850. Klein shows that institutions that coupled natural-scientific and technological inquiry existed well before the twentieth century. Focusing on the science of mining, technical chemistry, the science of forestry, and the science of building (later known as civil engineering), she examines the emergence of practitioners who were recognized as men of science as well as inventive technologists—key figures that she calls “scientific-technological experts.” Klein describes the Prussian state's recruitment of experts for technical projects and manufacturing, including land surveys, the apothecary trade, and porcelain production; state-directed mining, mining science, and mining academies; the history and epistemology of useful science; and the founding of Prussian scientific institutions in the nineteenth century, including the University of Berlin, the Academy of Building, the Technical Deputation, and the Industrial Institute.

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.

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.

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).