The general problem addressed in this book is a large and important one: how to usefully deal with huge storehouses of complex information about real-world situations. Every one of the major modes of
Appropriate as a textbook for courses in cognitive psychology or social cognition, "Everyday Thinking" reviews the rapidly growing literature on cognition in naturalistic settings. It differs from oth
"Math Bafflers" requires students to use creativity, critical thinking, and logical reasoning to perform a variety of operations and skills that align with state and national math standards. The book
"Math Bafflers" requires students to use creativity, critical thinking, and logical reasoning to perform a variety of operations and skills that align with state and national math standards. The book
Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors,
This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The treatment of exact algorithms covers the main inference paradigms based on elimination and conditioning and includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks. The treatment of approximate algorithms covers the main inference paradigms based on sampling and optimization and includes influential algorithms such as importance sampling, MCMC, and belief propagation. The author assumes very little background on the covered subjects, supplying
This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The treatment of exact algorithms covers the main inference paradigms based on elimination and conditioning and includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks. The treatment of approximate algorithms covers the main inference paradigms based on sampling and optimization and includes influential algorithms such as importance sampling, MCMC, and belief propagation. The author assumes very little background on the covered subjects, supplying
Workbook for Reasoning Skills: Exercises for Functional Reasoning and Reading Comprehension is packed with exercises that emphasize real-world situations, problem solving, reasoning, and comprehension
When you understand the whys of each step the nursing process, it s easier easy to understand how to apply them in the real world in which you will practice. Take an interactive, step-by-step approach
Since Aristotle, many different theories of distributive justice have been proposed, by philosophers as well as social scientists. The typical approach within social choice theory is to assess these theories in an axiomatic way – most of the time the reader is confronted with abstract reasoning and logical deductions. This book shows that empirical insights are necessary if one wants to apply any theory of justice in the real world. It does so by confronting the main theories of distributive justice with data from (mostly) questionnaire experiments. The book starts with an extensive discussion on why empirical social choice makes sense and how it should be done. It then presents various experimental results relating to theories of distributive justice, including the Rawlsian equity axiom, Harsanyi's version of utilitarianism, utilitarianism with a floor, responsibility-sensitive egalitarianism, the claims problem and fairness in health.
Statistics and Health Care Fraud: How to Save Billions helps the public to become more informed citizens through discussions of real world health care examples and fraud assessment applications. The a
The first edition of Caroline Whitbeck's Ethics in Engineering Practice and Research focused on the difficult ethical problems engineers encounter in their practice and in research. In many ways, these problems are like design problems: they are complex, often ill defined; resolving them involves an iterative process of analysis and synthesis; and there can be more than one acceptable solution. In the second edition of this text, Dr Whitbeck goes above and beyond by featuring more real-life problems, stating recent scenarios and laying the foundation of ethical concepts and reasoning. This book offers a real-world, problem-centered approach to engineering ethics, using a rich collection of open-ended case studies to develop skill in recognizing and addressing ethical issues.
The first edition of Caroline Whitbeck's Ethics in Engineering Practice and Research focused on the difficult ethical problems engineers encounter in their practice and in research. In many ways, these problems are like design problems: they are complex, often ill defined; resolving them involves an iterative process of analysis and synthesis; and there can be more than one acceptable solution. In the second edition of this text, Dr Whitbeck goes above and beyond by featuring more real-life problems, stating recent scenarios and laying the foundation of ethical concepts and reasoning. This book offers a real-world, problem-centered approach to engineering ethics, using a rich collection of open-ended case studies to develop skill in recognizing and addressing ethical issues.
Mathematics of Chance utilizes simple, real-world problems-some of which have only recently been solved-to explain fundamental probability theorems, methods, and statistical reasoning. Jiri Andel begi
Case Studies in Cell Biology presents real world scenarios to help readers use science process and reasoning skills. The case studies require application and analyzation of concepts beyond rote memory
A Case Study Approach. Examines a wide range of ethical dilemmas, principles and moral reasoning that arise in contemporary business through a series of popular films and real-world case studies.
Real-world scenarios help you develop clinical reasoning skills for primary care!Case Studies in Primary Care: A Day in the Office, 2nd Edition includes 50 case studies on the most commonly encountere
Get up to speed with this robust introduction to the aerothermodynamics principles underpinning jet propulsion, and learn how to apply these principles to jet engine components. Suitable for undergraduate students in aerospace and mechanical engineering, and for professional engineers working in jet propulsion, this textbook includes consistent emphasis on fundamental phenomena and key governing equations, providing students with a solid theoretical grounding on which to build practical understanding; clear derivations from first principles, enabling students to follow the reasoning behind key assumptions and decisions, and successfully apply these approaches to new problems; practical examples grounded in real-world jet propulsion scenarios illustrate new concepts throughout the book, giving students an early introduction to jet and rocket engine considerations; and online materials for course instructors, including solutions, figures, and software resources, to enhance student teachi
Both engineering and human living take place in a messy world, one chock full of unknowns and contingencies. "Design reasoning" is the way engineers cope with real-world contingency. Because of the me
