Publisher description

Science is a living, organic activity, the meaning and understanding of which have evolved incrementally over human history. This book, the second in a roughly chronological series, explores the evolution of science from the advents of Christianity and Islam through the Middle Ages, focusing especially on the historical relationship between science and religion. Specific topics include technological innovations during the Middle Ages; Islamic science; the Crusades; Gothic cathedrals; and the founding of Western universities. Close attention is given to such figures as Paul the Apostle, Hippolytus, Lactantius, Cyril of Alexandria, Hypatia, Cosmas Indicopleustes, and the Prophet Mohammed.

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.

This book provides science and technology ethos to a literate person. It starts with a rather detailed treatment of basic concepts in human values, educational status and domains of education, development of science and technology and their contributions to the welfare of society. It describes ways and means of scientific progresses and technological advancements with their historical perspectives including scientific viewpoints of contributing scientists and technologists. The technical, social, and cultural dimensions are surveyed in relation to acquisition and application of science, and advantages and hindrances of technological developments. Science and Technology is currently taught as a college course in many universities with the intention to introduce topics from a global historical perspective so that the reader shall stretch his/her vision by mapping the past to the future. The book can also serve as a primary reference for such courses.

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.

Concentrating on the Industrial Revolution as experienced in Great Britain (and, within that sphere, mainly on the early development of the engineering and chemical industries), the authors develop the thesis that the interaction between theorists and men of practical affairs was much closer, more complex and more consequential than some historians of science have held it to be. Deeply researched, gracefully argued and fully documented. First published in 1969, and established now as a "classic" in the field, the present edition has a new foreword by Margaret C. Jacob. (NW) Annotation copyrighted by Book News, Inc., Portland, OR