Download or read book The R E A L Model Rethinking Generalization written by Brenda Terzich and published by . This book was released on 2020-05-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: A Practitioner's Guide to Teach for Generalization Within ABA Treatment for Autism and Other Disabilities

Download or read book Statistical Rethinking written by Richard McElreath and published by CRC Press. This book was released on 2018-01-03 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

Download or read book Applied Psychology written by E. Scott Geller and published by Cambridge University Press. This book was released on 2016-02-24 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrating humanism and behaviorism, this volume presents evidence-based techniques for improving health, safety, and well-being in all walks of life.

Download or read book Rethinking Logic Logic in Relation to Mathematics Evolution and Method written by Carlo Cellucci and published by Springer Science & Business Media. This book was released on 2013-10-09 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume examines the limitations of mathematical logic and proposes a new approach to logic intended to overcome them. To this end, the book compares mathematical logic with earlier views of logic, both in the ancient and in the modern age, including those of Plato, Aristotle, Bacon, Descartes, Leibniz, and Kant. From the comparison it is apparent that a basic limitation of mathematical logic is that it narrows down the scope of logic confining it to the study of deduction, without providing tools for discovering anything new. As a result, mathematical logic has had little impact on scientific practice. Therefore, this volume proposes a view of logic according to which logic is intended, first of all, to provide rules of discovery, that is, non-deductive rules for finding hypotheses to solve problems. This is essential if logic is to play any relevant role in mathematics, science and even philosophy. To comply with this view of logic, this volume formulates several rules of discovery, such as induction, analogy, generalization, specialization, metaphor, metonymy, definition, and diagrams. A logic based on such rules is basically a logic of discovery, and involves a new view of the relation of logic to evolution, language, reason, method and knowledge, particularly mathematical knowledge. It also involves a new view of the relation of philosophy to knowledge. This book puts forward such new views, trying to open again many doors that the founding fathers of mathematical logic had closed historically. trigger

Download or read book Brain Inspired Computing written by Katrin Amunts and published by Springer Nature. This book was released on 2021-07-20 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book constitutes revised selected papers from the 4th International Workshop on Brain-Inspired Computing, BrainComp 2019, held in Cetraro, Italy, in July 2019. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for neuroscience as well as artificial and natural neural architectures.

Download or read book Rethinking Classroom Management written by Patricia Sequeira Belvel and published by Corwin Press. This book was released on 2003 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based upon the authors' many years of classroom experience and consulting work this volume is filled with practical, research-based and tested strategies to help teachers create an environment that supports students' sense of self-esteem, influence and autonomy whilst preventing possible conflict.

Download or read book Brain Gain written by Darrell M. West and published by Brookings Institution Press. This book was released on 2010-06-01 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many of America's greatest artists, scientists, investors, educators, and entrepreneurs have come from abroad. Rather than suffering from the "brain drain" of talented and educated individuals emigrating, the United States has benefited greatly over the years from the "brain gain" of immigration. These gifted immigrants have engineered advances in energy, information technology, international commerce, sports, arts, and culture. To stay competitive, the United States must institute more of an open-door policy to attract unique talents from other nations. Yet Americans resist such a policy despite their own immigrant histories and the substantial social, economic, intellectual, and cultural benefits of welcoming newcomers. Why? In Brain Gain, Darrell West asserts that perception or "vision" is one reason reform in immigration policy is so politically difficult. Public discourse tends to emphasize the perceived negatives. Fear too often trumps optimism and reason. And democracy is messy, with policy principles that are often difficult to reconcile. The seeming irrationality of U.S. immigration policy arises from a variety of thorny and interrelated factors: particularistic politics and fragmented institutions, public concern regarding education and employment, anger over taxes and social services, and ambivalence about national identity, culture, and language. Add to that stew a myopic (or worse) press, persistent fears of terrorism, and the difficulties of implementing border enforcement and legal justice. West prescribes a series of reforms that will put America on a better course and enhance its long-term social and economic prosperity. Reconceptualizing immigration as a way to enhance innovation and competitiveness, the author notes, will help us find the next Sergey Brin, the next Andrew Grove, or even the next Albert Einstein.

Download or read book Global Modernization written by Alberto Martinelli and published by SAGE. This book was released on 2005-07-12 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides a new approach to examining questions of modernization and modernity. It overhauls existing theories and concepts and applies them to the new social and economic conditions that define our age.

Download or read book Neural Networks Tricks of the Trade written by Grégoire Montavon and published by Springer. This book was released on 2012-11-14 with total page 753 pages. Available in PDF, EPUB and Kindle. Book excerpt: The twenty last years have been marked by an increase in available data and computing power. In parallel to this trend, the focus of neural network research and the practice of training neural networks has undergone a number of important changes, for example, use of deep learning machines. The second edition of the book augments the first edition with more tricks, which have resulted from 14 years of theory and experimentation by some of the world's most prominent neural network researchers. These tricks can make a substantial difference (in terms of speed, ease of implementation, and accuracy) when it comes to putting algorithms to work on real problems.

Download or read book Beyond the Worst Case Analysis of Algorithms written by Tim Roughgarden and published by Cambridge University Press. This book was released on 2021-01-14 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.

Download or read book Rethinking the Good written by Larry S. Temkin and published by Oxford University Press. This book was released on 2012-01-20 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: In choosing between moral alternatives -- choosing between various forms of ethical action -- we typically make calculations of the following kind: A is better than B; B is better than C; therefore A is better than C. These inferences use the principle of transitivity and are fundamental to many forms of practical and theoretical theorizing, not just in moral and ethical theory but in economics. Indeed they are so common as to be almost invisible. What Larry Temkin's book shows is that, shockingly, if we want to continue making plausible judgments, we cannot continue to make these assumptions. Temkin shows that we are committed to various moral ideals that are, surprisingly, fundamentally incompatible with the idea that "better than" can be transitive. His book develops many examples where value judgments that we accept and find attractive, are incompatible with transitivity. While this might seem to leave two options -- reject transitivity, or reject some of our normative commitments in order to keep it -- Temkin is neutral on which path to follow, only making the case that a choice is necessary, and that the cost either way will be high. Temkin's book is a very original and deeply unsettling work of skeptical philosophy that mounts an important new challenge to contemporary ethics.

Download or read book The Great Mental Models Volume 1 written by Shane Parrish and published by Penguin. This book was released on 2024-10-15 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.

Download or read book Subjectivity and Knowledge written by Charlotte Højholt and published by Springer Nature. This book was released on 2019-11-22 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on a collection of chapters of leading scholars in the field, the purpose of this book is to intervene in current debates on the scientific foundation of psychological theory, methodology and research practice, and to offer an in-depth, situated and contextual understanding of psychological generalization. This book aims to contribute to a theoretical and methodological vocabulary which includes the subjective dimension of human life in psychological inquiry, and roots processes of generalization in persons’ common, social, cultural and material practices of everyday living. The volume is directed to students, professors, and researchers in psychology as well as to scholars in other branches of the humanities and social science where psychology and especially subjectivity, everyday practice and the development of psychological knowledge is an issue. The volume will be of particular interest to scholars in the field of cultural psychology, critical psychology, psychology of everyday life as well as psychological methodology and qualitative studies of everyday life including the various critical undergraduate, graduate, master, and PhD programs. The book will also be of special interest for scholars working in social psychology, history of psychology, general psychology, theoretical psychology, environmental psychology and political psychology.

Download or read book Actual Causality written by Joseph Y. Halpern and published by MIT Press. This book was released on 2016-08-12 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores actual causality, and such related notions as degree of responsibility, degree of blame, and causal explanation. The goal is to arrive at a definition of causality that matches our natural language usage and is helpful, for example, to a jury deciding a legal case, a programmer looking for the line of code that cause some software to fail, or an economist trying to determine whether austerity caused a subsequent depression.

Download or read book Reframe Your Thinking Around Autism written by Holly Bridges and published by Jessica Kingsley Publishers. This book was released on 2015-08-21 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Outlining a new, optimistic way to understand autism, this concise and accessible book offers practical ideas to help children on the spectrum grow. The Polyvagal Theory suggests autism is a learnt response by the body - a result of the child being in a prolonged state of 'fight or flight' while their nervous system is still developing. This book explains the theory in simple terms and incorporates recent developments in brain plasticity research (the capacity of the brain to change throughout life) to give parents and professionals the tools to strengthen the child's brain-body connection and lessen the social and emotional impact of autism.

Download or read book Evidence Based Practices and Treatments for Children with Autism written by Brian Reichow and published by Springer Science & Business Media. This book was released on 2010-11-25 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autism spectrum disorders (ASDs) have been increasingly diagnosed in recent years and carries with it far reaching social and financial implications. With this in mind, educators, physicians, and parents are searching for the best practices and most effective treatments. But because the symptoms of ASDs span multiple domains (e.g., communication and language, social, behavioral), successfully meeting the needs of a child with autism can be quite challenging. Evidence-Based Practices and Treatments for Children with Autism offers an insightful and balanced perspective on topics ranging from the historical underpinnings of autism treatment to the use of psychopharmacology and the implementation of evidence-based practices (EBPs). An evaluation methodology is also offered to reduce the risks and inconsistencies associated with the varying definitions of key autism terminology. This commitment to clearly addressing the complex issues associated with ASDs continues throughout the volume and provides opportunities for further research. Additional issues addressed include: Behavioral excesses and deficits treatment Communication treatment Social awareness and social skills treatment Dietary, complementary, and alternative treatments Implementation of EBPs in school settings Interventions for sensory dysfunction With its holistic and accessible approach, Evidence-Based Practices and Treatments for Children with Autism is a vital resource for school psychologists and special education professionals as well as allied mental health professionals, including clinical child and developmental psychologists, psychiatrist, pediatricians, primary care and community providers.

Download or read book Patterns Predictions and Actions Foundations of Machine Learning written by Moritz Hardt and published by Princeton University Press. This book was released on 2022-08-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impacts Patterns, Predictions, and Actions introduces graduate students to the essentials of machine learning while offering invaluable perspective on its history and social implications. Beginning with the foundations of decision making, Moritz Hardt and Benjamin Recht explain how representation, optimization, and generalization are the constituents of supervised learning. They go on to provide self-contained discussions of causality, the practice of causal inference, sequential decision making, and reinforcement learning, equipping readers with the concepts and tools they need to assess the consequences that may arise from acting on statistical decisions. Provides a modern introduction to machine learning, showing how data patterns support predictions and consequential actions Pays special attention to societal impacts and fairness in decision making Traces the development of machine learning from its origins to today Features a novel chapter on machine learning benchmarks and datasets Invites readers from all backgrounds, requiring some experience with probability, calculus, and linear algebra An essential textbook for students and a guide for researchers