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Author: Robert Munro
Publisher: Simon and Schuster
ISBN: 1617296740
Category : Computers
Languages : en
Pages : 422
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Book Description
Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to dreate training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.
Author: Robert Munro
Publisher: Simon and Schuster
ISBN: 1617296740
Category : Computers
Languages : en
Pages : 422
Get Book Here
Book Description
Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to dreate training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.
Author: Jeanne Ellis Ormrod
Publisher: Prentice Hall
ISBN: 9780132595186
Category : Behaviorism (Psychology)
Languages : en
Pages : 0
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Book Description
"The market-leading education textbook on learning theories, Human Learning, Sixth Edition, covers a broad range of concepts and is supported by the author's lucid and engaging writing style, which helps readers learn the book's content meaningfully. In this new sixth edition, readers will find significant updates to reflect the most current research in the field, including: expansion of the chapter on cognition and memory; re-organization of content on Piaget and Vygotsky into two separate chapters; a core section on teaching critical-thinking skills; and the significantly revised discussion of technology-based instructed. Instructors and students alike can feel confident in learning about learning with this influential and best-selling author"--Publisher's website.
Author: Leston L. Havens
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Psychology
Languages : en
Pages : 168
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Book Description
Author: Jianlong Zhou
Publisher: Springer
ISBN: 3319904035
Category : Computers
Languages : en
Pages : 485
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Book Description
With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications. This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making. This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
Author: Leslie A. Hart
Publisher:
ISBN: 9780962447594
Category : Educational psychology
Languages : en
Pages : 416
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Book Description
Orchestrating learning that is bodybrain-compatible must be the foundation for what goes on in the classroom. Hart brilliantly explains the biology of learning related to classroom practice and allows the reader to "see" what is necessary for real reform efforts to succeed. The reader comes to appreciate how the brain makes meaning through pattern recognition, prepares to act through mental programs, and responds to emotion.
Author: Arthur W. Melton
Publisher: Academic Press
ISBN: 1483258378
Category : Psychology
Languages : en
Pages : 373
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Book Description
Categories of Human Learning covers the papers presented at the Symposium on the Psychology of Human Learning, held at the University of Michigan, Ann Arbor on January 31 and February 1, 1962. The book focuses on the different classifications of human learning. The selection first offers information on classical and operant conditioning and the categories of learning and the problem of definition. Discussions focus on classical and instrumental conditioning and the nature of reinforcement; comparability of the forms of human learning; conditioning experiments with human subjects; and subclasses of classical and instrumental conditioning. The text then takes a look at the representativeness of rote verbal learning and centrality of verbal learning. The publication ponders on probability learning, evaluation of stimulus sampling theory, and short-term memory and incidental learning. Topics include short-term retention, stimulus variation experiments, reinforcement schedules and mean response, systematic interpretations, and methodological approaches. The book then examines the behavioral effects of instruction to learning, verbalizations and concepts, and the generality of research on transfer functions. The selection is highly recommended for psychologists and educators wanting to conduct studies on the categories of human learning.
Author: Peter Jarvis
Publisher: Routledge
ISBN: 1134326866
Category : Education
Languages : en
Pages : 297
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Book Description
Learning is among the most basic of human activities. The study of, and research into, learning forms a central part of educational studies. The well-respected and established authors, Jarvis and Parker, not only focus on the psychological processes of human learning, but they also examine the importance of the relationship between the body and the mind. For the first time, this book considers how our neurological, biological, emotional and spiritual faculties all impact on human learning. Topics covered include: the biology of learning personality and human learning thinking and learning styles gender and human learning life cycle development and human learning emotional intelligence and learning morality and human learning learning in the social context. Drawing on material from the worlds of science and social science, and with contributions from international authors, this book will be of interest to academics in a wide range of disciplines.
Author: Arthur W. Staats
Publisher: Prometheus Books
ISBN: 1616145986
Category : Science
Languages : en
Pages : 499
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Book Description
What makes us human? In recent decades, researchers have focused on innate tendencies and inherited traits as explanations for human behavior, especially in light of groundbreaking human genome research. The author thinks this trend is misleading. As he shows in great detail in this engaging, thought-provoking, and highly informative book, what makes our species unique is our marvelous ability to learn, which is an ability that no other primate possesses. In his exploration of human progress, the author reveals that the immensity of human learning has not been fully understood or examined. Evolution has endowed us with extremely versatile bodies and a brain comprised of one hundred billion neurons, which makes us especially suited for a wide range of sophisticated learning. Already in childhood, human beings begin learning complex repertoires—language, sports, value systems, music, science, rules of behavior, and many other aspects of culture. These repertoires build on one another in special ways, and our brains develop in response to the learning experiences we receive from those around us and from what we read and hear and see. When humans gather in society, the cumulative effect of building learning upon learning is enormous. The author presents a new way of understanding humanness—in the behavioral nature of the human body, in the unique human way of learning, in child development, in personality, and in abnormal behavior. With all this, and his years of basic and applied research, he develops a new theory of human evolution and a new vision of the human being. This book offers up a unified concept that not only provides new ways of understanding human behavior and solving human problems but also lays the foundations for opening new areas of science.
Author: Ken Ashwell
Publisher: Simon and Schuster
ISBN: 1506280951
Category : Medical
Languages : en
Pages : 193
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Book Description
"With large, colorful graphics, and simple explanations, Barron's Visual Learning: Human Anatomy is the ultimate user-friendly resource for anatomy learners. Inside you'll find easy-to-follow diagrams, detailed illustrations, and mindmaps for key topics."--Provided by publisher.
Author: Ezey M. Dar-El
Publisher: Springer Science & Business Media
ISBN: 1475731132
Category : Business & Economics
Languages : en
Pages : 241
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Book Description
Learning plays a fundamental role in the production planning and growth of all organizations. With the need for more rapid changes in the global economy, the management of organizational change is a key factor in sustaining competitiveness in today's economy. This book has been developed with these `learning needs' in mind. Human Learning:From Learning Curves to Learning Organizations covers a broad range of learning models and related topics beginning with learning curves to recent research on learning organizations. The book's focus is to enable researchers and practitioners to forecast any organization's `learning needs' using the prediction aspects of an array of learning models. The book includes research and application discussions on topics such as accounting for previous experience; the `learning-forgetting-relearning' phenomenon; parameter estimation with no previous experience; DeJong's incompressibility model; predictive learning models requiring only two learning parameters; long learning cycle times; the speed-error relationship; evaluating the cost of learning from the point of view of safety; and an examination of Learning Organizations. Each chapter is developed from published research and worked examples are used throughout.
