High-Dimensional Probability

High-Dimensional Probability

Author: Roman Vershynin

Publisher: Cambridge University Press

Published: 2018-09-27

Total Pages: 299

ISBN-13: 1108415199

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An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.


Science

Science

Author: John Michels (Journalist)

Publisher:

Published: 2007

Total Pages: 728

ISBN-13:

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A weekly record of scientific progress.


How People Learn

How People Learn

Author: National Research Council

Publisher: National Academies Press

Published: 2000-08-11

Total Pages: 386

ISBN-13: 0309131979

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First released in the Spring of 1999, How People Learn has been expanded to show how the theories and insights from the original book can translate into actions and practice, now making a real connection between classroom activities and learning behavior. This edition includes far-reaching suggestions for research that could increase the impact that classroom teaching has on actual learning. Like the original edition, this book offers exciting new research about the mind and the brain that provides answers to a number of compelling questions. When do infants begin to learn? How do experts learn and how is this different from non-experts? What can teachers and schools do-with curricula, classroom settings, and teaching methodsâ€"to help children learn most effectively? New evidence from many branches of science has significantly added to our understanding of what it means to know, from the neural processes that occur during learning to the influence of culture on what people see and absorb. How People Learn examines these findings and their implications for what we teach, how we teach it, and how we assess what our children learn. The book uses exemplary teaching to illustrate how approaches based on what we now know result in in-depth learning. This new knowledge calls into question concepts and practices firmly entrenched in our current education system. Topics include: How learning actually changes the physical structure of the brain. How existing knowledge affects what people notice and how they learn. What the thought processes of experts tell us about how to teach. The amazing learning potential of infants. The relationship of classroom learning and everyday settings of community and workplace. Learning needs and opportunities for teachers. A realistic look at the role of technology in education.


Approaches to Class Analysis

Approaches to Class Analysis

Author: Erik Olin Wright

Publisher: Cambridge University Press

Published: 2005-07-01

Total Pages: 232

ISBN-13: 9781139444460

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Few themes have been as central to sociology as 'class' and yet class remains a perpetually contested idea. Sociologists disagree not only on how best to define the concept of class but on its general role in social theory and indeed on its continued relevance to the sociological analysis of contemporary society. Some people believe that classes have largely dissolved in contemporary societies; others believe class remains one of the fundamental forms of social inequality and social power. Some see class as a narrow economic phenomenon whilst others adopt an expansive conception that includes cultural dimensions as well as economic conditions. This 2005 book explores the theoretical foundations of six major perspectives of class with each chapter written by an expert in the field. It concludes with a conceptual map of these alternative approaches by posing the question: 'If class is the answer, what is the question?'


Machine Learning Refined

Machine Learning Refined

Author: Jeremy Watt

Publisher: Cambridge University Press

Published: 2020-01-09

Total Pages: 597

ISBN-13: 1108480721

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An intuitive approach to machine learning covering key concepts, real-world applications, and practical Python coding exercises.


Introduction to Evolutionary Computing

Introduction to Evolutionary Computing

Author: A.E. Eiben

Publisher: Springer Science & Business Media

Published: 2007-08-06

Total Pages: 328

ISBN-13: 9783540401841

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The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.


Data Science and Machine Learning

Data Science and Machine Learning

Author: Dirk P. Kroese

Publisher: CRC Press

Published: 2019-11-20

Total Pages: 538

ISBN-13: 1000730778

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Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code


Principles of Regenerative Medicine

Principles of Regenerative Medicine

Author: Anthony Atala

Publisher: Academic Press

Published: 2010-12-16

Total Pages: 1203

ISBN-13: 0123814235

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Virtually any disease that results from malfunctioning, damaged, or failing tissues may be potentially cured through regenerative medicine therapies, by either regenerating the damaged tissues in vivo, or by growing the tissues and organs in vitro and implanting them into the patient. Principles of Regenerative Medicine discusses the latest advances in technology and medicine for replacing tissues and organs damaged by disease and of developing therapies for previously untreatable conditions, such as diabetes, heart disease, liver disease, and renal failure. - Key for all researchers and instituions in Stem Cell Biology, Bioengineering, and Developmental Biology - The first of its kind to offer an advanced understanding of the latest technologies in regenerative medicine - New discoveries from leading researchers on restoration of diseased tissues and organs