ebooks, audiobooks, and more for reads
Download Learning To Be Human full books in PDF, epub, and Kindle. Read online Learning To Be Human ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author: Leston L. Havens
Publisher: Addison Wesley Publishing Company
Published: 1994-04-20
Total Pages: 168
ISBN-13:
DOWNLOAD EBOOKDownload or read book Learning To Be Human written by Leston L. Havens and published by Addison Wesley Publishing Company. This book was released on 1994-04-20 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Robert Munro
Publisher: Simon and Schuster
Published: 2021-07-20
Total Pages: 422
ISBN-13: 1617296740
DOWNLOAD EBOOKMachine 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.
Download or read book Human-in-the-Loop Machine Learning written by Robert Munro and published by Simon and Schuster. This book was released on 2021-07-20 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Published: 2018-06-07
Total Pages: 482
ISBN-13: 3319904035
DOWNLOAD EBOOKWith 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.
Download or read book Human and Machine Learning written by Jianlong Zhou and published by Springer. This book was released on 2018-06-07 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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: Joanne McEachen
Publisher: Corwin Press
Published: 2018-09-20
Total Pages: 185
ISBN-13: 1544330812
DOWNLOAD EBOOKMeasure what matters for deeper learning Getting at the heart of what matters for students is key to deeper learning that connects with their lives, but what good is knowing what matters without also understanding how to bring it to life? What does it really take to know who students are, what they are truly learning, and why? Measuring Human Return solves this dilemma with a comprehensive, systematic process for measuring deeper learning outcomes. Educators will learn to assess students’ self-understanding, knowledge, competencies, and connections through vignettes, case studies, learning experiences and tools. The book helps readers: Develop key system capabilities to build the foundation for sustainable engagement, measurement, and change Discover five comprehensive "frames" for measuring deeper learning Engage in the process of collaborative inquiry Commit to the central, active role of learners by engaging them as partners in every aspect of their learning Discover how to take an authentic, formative, and inquiry-driven approach to measuring the outcomes that drive deeper learning. The book really hits the mark. The best thing about it is the in-depth discussion of systems. It is with great pleasure that I read and re-read this book. It delivers a good combination of big vision with specific strategies and techniques. Jeff Beaudry, Professor, Educational Leadership; University of Southern Maine; Portland, ME This is just what we need in our district. This engaging book will help Change Teams support their systems to effectively measure deeper learning. Readers will be drawn in by great examples from around the globe of educators putting students first. This energizing book calls us to take action for all of our students today and for our future. Charisse Berner, Director of Teaching and Learning, Curriculum; Bellingham Public Schools; Bellingham, WA
Download or read book Measuring Human Return written by Joanne McEachen and published by Corwin Press. This book was released on 2018-09-20 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Measure what matters for deeper learning Getting at the heart of what matters for students is key to deeper learning that connects with their lives, but what good is knowing what matters without also understanding how to bring it to life? What does it really take to know who students are, what they are truly learning, and why? Measuring Human Return solves this dilemma with a comprehensive, systematic process for measuring deeper learning outcomes. Educators will learn to assess students’ self-understanding, knowledge, competencies, and connections through vignettes, case studies, learning experiences and tools. The book helps readers: Develop key system capabilities to build the foundation for sustainable engagement, measurement, and change Discover five comprehensive "frames" for measuring deeper learning Engage in the process of collaborative inquiry Commit to the central, active role of learners by engaging them as partners in every aspect of their learning Discover how to take an authentic, formative, and inquiry-driven approach to measuring the outcomes that drive deeper learning. The book really hits the mark. The best thing about it is the in-depth discussion of systems. It is with great pleasure that I read and re-read this book. It delivers a good combination of big vision with specific strategies and techniques. Jeff Beaudry, Professor, Educational Leadership; University of Southern Maine; Portland, ME This is just what we need in our district. This engaging book will help Change Teams support their systems to effectively measure deeper learning. Readers will be drawn in by great examples from around the globe of educators putting students first. This energizing book calls us to take action for all of our students today and for our future. Charisse Berner, Director of Teaching and Learning, Curriculum; Bellingham Public Schools; Bellingham, WA
Author: Brian Christian
Publisher: W. W. Norton & Company
Published: 2020-10-06
Total Pages: 459
ISBN-13: 039363583X
DOWNLOAD EBOOKA 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.
Download or read book The Alignment Problem: Machine Learning and Human Values written by Brian Christian and published by W. W. Norton & Company. This book was released on 2020-10-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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: Matt Landry
Publisher: Learning to Be
Published: 2017-04-24
Total Pages: 112
ISBN-13: 9781521095829
DOWNLOAD EBOOKToday, more than ever, we are losing sight of our humanity. You were taught to feel like you don't belong and much of the teaching came from yourself. You wen't born that way, though. It's time you learned that you are more than enough just as you are right now. Finally, a guide that will help you uncover the human you truly are and the happy, content, relaxed, satisfied, and self-confident person you were meant to be. Do you remember who you were before everyone told you who you should be? Buried deep within our confused, stressed out, and depressed lives is a happy person looking to break free of the chains of what we've been told we should be, and live a life free of the pressures society can place on us. We're told that we need to look a certain way, live a life in accordance with the rules of a specific religion, or make an allotted amount of money. The World around us has become a hurried, chaotic, and technological war on our brains. Learning to Be Human Again will help you to uncover your potential as a human by changing your thinking habits using a variety of proven exercises. This guide will help you to simplify your life by changing your thinking and introducing tools to begin practicing better daily habits. Human nature is slipping away from us, and as a result, we're having a harder time coping with the world, society, and the people around us. Let's take a step back and learn just what it means to be a human first, so we can understand ourselves and everyone else a little better.
Download or read book Learning to Be Human Again written by Matt Landry and published by Learning to Be. This book was released on 2017-04-24 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, more than ever, we are losing sight of our humanity. You were taught to feel like you don't belong and much of the teaching came from yourself. You wen't born that way, though. It's time you learned that you are more than enough just as you are right now. Finally, a guide that will help you uncover the human you truly are and the happy, content, relaxed, satisfied, and self-confident person you were meant to be. Do you remember who you were before everyone told you who you should be? Buried deep within our confused, stressed out, and depressed lives is a happy person looking to break free of the chains of what we've been told we should be, and live a life free of the pressures society can place on us. We're told that we need to look a certain way, live a life in accordance with the rules of a specific religion, or make an allotted amount of money. The World around us has become a hurried, chaotic, and technological war on our brains. Learning to Be Human Again will help you to uncover your potential as a human by changing your thinking habits using a variety of proven exercises. This guide will help you to simplify your life by changing your thinking and introducing tools to begin practicing better daily habits. Human nature is slipping away from us, and as a result, we're having a harder time coping with the world, society, and the people around us. Let's take a step back and learn just what it means to be a human first, so we can understand ourselves and everyone else a little better.
Author: Christopher Winch
Publisher: Routledge
Published: 2002-01-04
Total Pages: 200
ISBN-13: 1134717822
DOWNLOAD EBOOKThe Philosophy of Human Learning addresses current concerns with the nature of human learning from a distinctive philosophical perspective. Using insights derived from the work of Wittgenstein, it mounts a vigorous attack on influential contemporary accounts of learning, both in the 'romantic' Rousseauian tradition and in the 'scientific' cognotivist tradition. These two schools, Professor Winch argues, are more closely related than is commonly realised.
Download or read book The Philosophy of Human Learning written by Christopher Winch and published by Routledge. This book was released on 2002-01-04 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Philosophy of Human Learning addresses current concerns with the nature of human learning from a distinctive philosophical perspective. Using insights derived from the work of Wittgenstein, it mounts a vigorous attack on influential contemporary accounts of learning, both in the 'romantic' Rousseauian tradition and in the 'scientific' cognotivist tradition. These two schools, Professor Winch argues, are more closely related than is commonly realised.
Author: La Butcher
Publisher: Independently Published
Published: 2021-08-30
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKSometimes living in the shadows is the safest place to be... or so you would think, but you'd be wrong, because living in the shadows is what makes you a victim. As the youngest child living within a dysfunctional family, I thought that anger, rivalry and hatred were the norm, that every family possessed dirty little secrets they hid from the world... like alcohol and drug addiction, mental and physical abuse, depression, schizophrenia and suicide. Surviving those dirty little secrets while running from the school bully was hard, but it was nothing in comparison to coming up on the radar of the neighbourhood pedophile.
Download or read book Learning to be Human written by La Butcher and published by Independently Published. This book was released on 2021-08-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sometimes living in the shadows is the safest place to be... or so you would think, but you'd be wrong, because living in the shadows is what makes you a victim. As the youngest child living within a dysfunctional family, I thought that anger, rivalry and hatred were the norm, that every family possessed dirty little secrets they hid from the world... like alcohol and drug addiction, mental and physical abuse, depression, schizophrenia and suicide. Surviving those dirty little secrets while running from the school bully was hard, but it was nothing in comparison to coming up on the radar of the neighbourhood pedophile.
Author: John Bransford
Publisher: Thomson Brooks/Cole
Published: 1979
Total Pages: 324
ISBN-13:
DOWNLOAD EBOOKDownload or read book Human Cognition written by John Bransford and published by Thomson Brooks/Cole. This book was released on 1979 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Jeanne Ellis Ormrod
Publisher: Prentice Hall
Published: 2012
Total Pages: 0
ISBN-13: 9780132595186
DOWNLOAD EBOOK"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.
Download or read book Human Learning written by Jeanne Ellis Ormrod and published by Prentice Hall. This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
