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The R E A L Model Rethinking Generalization
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Book Synopsis The R. E. A. L. Model, Rethinking Generalization by : Brenda Terzich
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 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.
Book Synopsis Applied Psychology by : E. Scott Geller
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.
Book Synopsis Rethinking Logic: Logic in Relation to Mathematics, Evolution, and Method by : Carlo Cellucci
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
Book Synopsis Statistical Rethinking by : Richard McElreath
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.
Book Synopsis Subjectivity and Knowledge by : Charlotte Højholt
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.
Book Synopsis Rethinking the Good by : Larry S. Temkin
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.
Book Synopsis Patterns, Predictions, and Actions: Foundations of Machine Learning by : Moritz Hardt
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
Book Synopsis Beyond the Worst-Case Analysis of Algorithms by : Tim Roughgarden
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.
Book Synopsis Neural Networks: Tricks of the Trade by : Grégoire Montavon
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.
Book Synopsis Rethinking the Chess Pieces by : Andy Soltis
Download or read book Rethinking the Chess Pieces written by Andy Soltis and published by B T Batsford Ltd. This book was released on 2005-02-28 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professionals know that during the course of a game, the value of chess pieces change. And they use this knowledge to decide which pieces to exchange--and when. International grandmaster Andrew Soltis, the author of Bobby Fischer Rediscovered, helps pass this important information on to novices so they can benefit, too. He investigates why the traditional "chart of relative values" or computer analysis so often fails to explain why certain trades and sacrifices work and others just don't. All the typical decisions a player has to make, such as whether to swap two minor pieces for rook and pawn, receive detailed scrutiny. Players will appreciate the insightful analysis.
Book Synopsis Rethinking Classroom Management by : Patricia Sequeira Belvel
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.
Book Synopsis Global Modernization by : Alberto Martinelli
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.
Book Synopsis Experimental Economics by : Nicolas Jacquemet
Download or read book Experimental Economics written by Nicolas Jacquemet and published by Cambridge University Press. This book was released on 2018-11-29 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past two decades, experimental economics has moved from a fringe activity to become a standard tool for empirical research. With experimental economics now regarded as part of the basic tool-kit for applied economics, this book demonstrates how controlled experiments can be a useful in providing evidence relevant to economic research. Professors Jacquemet and L'Haridon take the standard model in applied econometrics as a basis to the methodology of controlled experiments. Methodological discussions are illustrated with standard experimental results. This book provides future experimental practitioners with the means to construct experiments that fit their research question, and new comers with an understanding of the strengths and weaknesses of controlled experiments. Graduate students and academic researchers working in the field of experimental economics will be able to learn how to undertake, understand and criticise empirical research based on lab experiments, and refer to specific experiments, results or designs completed with case study applications.
Book Synopsis Regression and Other Stories by : Andrew Gelman
Download or read book Regression and Other Stories written by Andrew Gelman and published by Cambridge University Press. This book was released on 2021 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.
Book Synopsis The Adult Learner by : Malcolm S. Knowles
Download or read book The Adult Learner written by Malcolm S. Knowles and published by Routledge. This book was released on 2020-12-20 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do you tailor education to the learning needs of adults? Do they learn differently from children? How does their life experience inform their learning processes? These were the questions at the heart of Malcolm Knowles’ pioneering theory of andragogy which transformed education theory in the 1970s. The resulting principles of a self-directed, experiential, problem-centred approach to learning have been hugely influential and are still the basis of the learning practices we use today. Understanding these principles is the cornerstone of increasing motivation and enabling adult learners to achieve. The 9th edition of The Adult Learner has been revised to include: Updates to the book to reflect the very latest advancements in the field. The addition of two new chapters on diversity and inclusion in adult learning, and andragogy and the online adult learner. An updated supporting website. This website for the 9th edition of The Adult Learner will provide basic instructor aids including a PowerPoint presentation for each chapter. Revisions throughout to make it more readable and relevant to your practices. If you are a researcher, practitioner, or student in education, an adult learning practitioner, training manager, or involved in human resource development, this is the definitive book in adult learning you should not be without.
Book Synopsis Mastering Machine Learning Algorithms by : Giuseppe Bonaccorso
Download or read book Mastering Machine Learning Algorithms written by Giuseppe Bonaccorso and published by Packt Publishing Ltd. This book was released on 2018-05-25 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore and master the most important algorithms for solving complex machine learning problems. Key Features Discover high-performing machine learning algorithms and understand how they work in depth. One-stop solution to mastering supervised, unsupervised, and semi-supervised machine learning algorithms and their implementation. Master concepts related to algorithm tuning, parameter optimization, and more Book Description Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will have to be smarter than they are today to meet the overwhelming data needs; mastering these algorithms and using them optimally is the need of the hour. Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. You will be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and will learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn. You will also learn how to use Keras and TensorFlow to train effective neural networks. If you are looking for a single resource to study, implement, and solve end-to-end machine learning problems and use-cases, this is the book you need. What you will learn Explore how a ML model can be trained, optimized, and evaluated Understand how to create and learn static and dynamic probabilistic models Successfully cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work and how to train, optimize, and validate them Work with Autoencoders and Generative Adversarial Networks Apply label spreading and propagation to large datasets Explore the most important Reinforcement Learning techniques Who this book is for This book is an ideal and relevant source of content for data science professionals who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. A basic knowledge of machine learning is preferred to get the best out of this guide.
