Reviews America's role in the world, focusing on a police-action foreign policy, an obsession with consumerism, and ever-rising personal debt

The Present Age: Progress and Anarchy in Modern America

NISBET, ROBERT

History

Harpercollins

The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions.
<ul>
<li>Written "By Practitioners for Practitioners" </li>
 <li>Non-technical explanations build understanding without jargon and equations </li>
 <li>Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models using Statistica, SAS and SPSS software</li>
 <li>Practical advice from successful real-world implementations </li>
 <li>Includes extensive case studies, examples, MS PowerPoint slides and datasets </li>
 <li>CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book</li>
</ul>

Handbook of Statistical Analysis and Data Mining Applications

Computers & Technology

Elder, John

Miner, Gary D.

Software

Academic Press

Practical Predictive Analytics and Decisioning Systems for Medicine: Informatics Accuracy and Cost-Effectiveness for Healthcare Administration and Delivery Including Medical Research

With the advent of electronic medical records years ago and the increasing capabilities of computers, our healthcare systems are sitting on growing mountains of data. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses some of the most pressing issues and challenges where data integrity is compromised: patient safety, patient communication, and patient information. Through the use of predictive analytic models and applications, this book is an invaluable resource to predict more accurate outcomes to help improve quality care in the healthcare and medical industries in the most cost–efficient manner. Practical Predictive Analytics and Decisioning Systems for Medicine provides the basics of predictive analytics for those new to the area and focuses on general philosophy and activities in the healthcare and medical system. It explains why predictive models are important, and how they can be applied to the predictive analysis process in order to solve real industry problems. Researchers need this valuable resource to improve data analysis skills and make more accurate and cost-effective decisions.

Business & Money

Hill, Thomas

Miner, Linda A.

Goldstein, Mitchell

Walton, Nephi

Bolding, Pat

Hilbe, Joseph

Industries

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas―from science and engineering, to medicine, academia and commerce.

Yale, Ken

The sociology of Emile Durkheim

Oxford University Press

Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century, explaining how data analytics play an important and revolutionary role. With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerging movement to fortify medical treatment and administration by tapping the predictive power of big data, such as predictive analytics, which can bolster patient care, reduce costs, and deliver greater efficiencies across a wide range of operational functions. Sections bring a historical perspective, highlight the importance of using predictive analytics to help solve health crisis such as the COVID-19 pandemic, provide access to practical step-by-step tutorials and case studies online, and use exercises based on real-world examples of successful predictive and prescriptive tools and systems. The final part of the book focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics.

Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research ... (The Elsevier Science & Technology Books)

Burk, Scott

"One of our most original social thinkers," according to the New York Times, Robert Nisbet offers a new approach to sociology. He shows that sociology is indeed an art form, one that has a strong kinship with literature, painting, Romantic history, and philosophy in the nineteenth century, the age in which sociology came into full stature. Sociology as an Art Form is an introduction for the initiated and the uninitiated in so­ciology.  Nisbet explains the degree to which sociology draws from the same creative impulses, themes and styles (rooted in history), and actual modes of representa­tion found in the arts. He shows how the founding sociologists such as Marx, Weber, Durkheim, and Simmel constructed portraits (of the bourgeois, the worker, and the intellectual) and landscapes (of the masses, the poor, the factory system), all reflecting and contribut­ing to identical portraits and landscapes found in the literature and art of the period. In addition to marking the similarities between sociologists' and artists' efforts to depict motion or movement, Nisbet emphasizes the relation of sociology to the fin de siecle in art and literature, with examples such as alienation, anomie, and degeneration. He creates an elegant, brilliantly reasoned appraisal of sociology's contribution to modern culture.  This book will be of interest to sociologists, artists, and anyone interested in how the fields relate to one another.

Sociology as an Art-form

Biographies & Memoirs

Professionals & Academics

Heinemann Educational Publishers

Handbook of Statistical Analysis: AI and ML Applications, third edition, is a comprehensive introduction to all stages of data analysis, data preparation, model building, and model evaluation. This valuable resource is useful to students and professionals across a variety of fields and settings: business analysts, scientists, engineers, and researchers in academia and industry. General descriptions of algorithms together with case studies help readers understand technical and business problems, weigh the strengths and weaknesses of modern data analysis algorithms, and employ the right analytical methods for practical application. This resource is an ideal guide for users who want to address massive and complex datasets with many standard analytical approaches and be able to evaluate analyses and solutions objectively. It includes clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques; offers accessible tutorials; and discusses their application to real-world problems.

Handbook of Statistical Analysis: AI and ML Applications

McCormick, Keith

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Books by NISBET, ROBERT