Learning To Be Human PDF Download
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Author: Leston L. Havens
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Psychology
Languages : en
Pages : 168
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Book Description
Author: Leston L. Havens
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Psychology
Languages : en
Pages : 168
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Book Description
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: 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: Jianlong Zhou
Publisher: Springer
ISBN: 3319904035
Category : Computers
Languages : en
Pages : 482
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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: John Bransford
Publisher: Thomson Brooks/Cole
ISBN:
Category : Education
Languages : en
Pages : 324
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Book Description
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: Brian Christian
Publisher: W. W. Norton & Company
ISBN: 039363583X
Category : Science
Languages : en
Pages : 459
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Book Description
A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.
Author: Helen E. Longino
Publisher: University of Chicago Press
ISBN: 0226492877
Category : Philosophy
Languages : en
Pages : 263
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Book Description
In this volume, Longino enters into the complexities of human behavioural research, a domain still dominated by the age-old debate of 'nature versus nurture'. Longino focuses on how scientists study it, specifically sexual behaviour and aggression, and asks what can be known about human behaviour through empirical investigation.
Author: Wang, Liang
Publisher: IGI Global
ISBN: 1605669016
Category : Computers
Languages : en
Pages : 318
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Book Description
"This book highlights the development of robust and effective vision-based motion understanding systems, addressing specific vision applications such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval"--Provided by publisher.
Author: Renate Nummela Caine
Publisher: Teachers College Press
ISBN: 0807751898
Category : Education
Languages : en
Pages : 256
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Book Description
Why do video games fascinate kids so much that they will spend hours pursuing a difficult skill? Why don't they apply this kind of intensity to their school work? In their most penetrating and important work in years, these two leaders in the field of brain-based education build a bridge to the future of education with a dynamic model of teaching that works for all grade levels and in all cultural and ethnic groups. The authors' education model, the "Guided Experience Approach," is based on the way that biologists see learning as a totally natural, continuous interaction between perception and action. Natural Learning for a Connected World provides a practical, step-by-step description and successful examples from practice of this perception action cycle so that we can finally provide the learning environments essential for our children to thrive in the knowledge age.
