This book, published in 2000, examines the intersection between science and books from early medieval times to the nineteenth century.

A clear and concise survey of the major themes and theories embedded in the history of life science, this book covers the development and significance of scientific methodologies, the relationship between science and society, and the diverse ideologies and current paradigms affecting the evolution and progression of biological studies. The author discusses cell theory, embryology, physiology, microbiology, evolution, genetics, and molecular biology; the Human Genome Project; and genomics and proteomics. Covering the philosophies of ancient civilizations to modern advances in genomics and molecular biology, the book is a unique and comprehensive resource.

Divided into two parts, this book examines the train of social theory from the 19th century, through to the ′organization of modernity′, in relation to ideas of social planning, and as contributors to the ′rationalistic revolution′ of the ′golden age′ of capitalism in the 1950s and 60s. Part two examines key concepts in the social sciences. It begins with some of the broadest concepts used by social scientists: choice, decision, action and institution and moves on to examine the ′collectivist alternative′: the concepts of society, culture and polity, which are often dismissed as untenable by postmodernists today. This is a major contribution to contemporary social theory and provides a host of essential insights into the task of social science today.

A comprehensive history of the human sciences -- psychology, sociology, anthropology, economics, and political science -- from their precursors in early human culture to the present.This erudite yet accessible volume in Norton's highly praised History of Science series tracks the long and circuitous path by which human beings came to see themselves and their societies as scientific subjects like any other. Beginning with the Renaissance's rediscovery of Greek psychology, political philosophy, and ethics, Roger Smith recounts how the human sciences gradually organized themselves around a scientific conception of psychology, and how this trend has continued to the present day in a circle of interactions between science and ordinary life, in which the human sciences have influenced and been influenced by popular culture.

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.