Learning To Be Human
Author | : Leston L. Havens |
Publisher | : Addison Wesley Publishing Company |
Total Pages | : 168 |
Release | : 1994-04-20 |
Genre | : Psychology |
ISBN | : |
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Author | : Leston L. Havens |
Publisher | : Addison Wesley Publishing Company |
Total Pages | : 168 |
Release | : 1994-04-20 |
Genre | : Psychology |
ISBN | : |
Author | : Robert Munro |
Publisher | : Simon and Schuster |
Total Pages | : 422 |
Release | : 2021-07-20 |
Genre | : Computers |
ISBN | : 1617296740 |
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 | : Jason Stern |
Publisher | : Codhill Press |
Total Pages | : 0 |
Release | : 2010-11-15 |
Genre | : Poetry |
ISBN | : 9781930337541 |
Compilation of Stern's columns from Chronogram in which he explores the intriguing concept of regional culture in its full meaning.
Author | : Trent Hone |
Publisher | : Naval Institute Press |
Total Pages | : 389 |
Release | : 2018-06-15 |
Genre | : History |
ISBN | : 1682472949 |
Learning War examines the U.S. Navy’s doctrinal development from 1898–1945 and explains why the Navy in that era was so successful as an organization at fostering innovation. A revolutionary study of one of history’s greatest success stories, this book draws profoundly important conclusions that give new insight, not only into how the Navy succeeded in becoming the best naval force in the world, but also into how modern organizations can exploit today’s rapid technological and social changes in their pursuit of success. Trent Hone argues that the Navy created a sophisticated learning system in the early years of the twentieth century that led to repeated innovations in the development of surface warfare tactics and doctrine. The conditions that allowed these innovations to emerge are analyzed through a consideration of the Navy as a complex adaptive system. Learning War is the first major work to apply this complex learning approach to military history. This approach permits a richer understanding of the mechanisms that enable human organizations to evolve, innovate, and learn, and it offers new insights into the history of the United States Navy.
Author | : Jianlong Zhou |
Publisher | : Springer |
Total Pages | : 482 |
Release | : 2018-06-07 |
Genre | : Computers |
ISBN | : 3319904035 |
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 | : Christopher Winch |
Publisher | : Routledge |
Total Pages | : 200 |
Release | : 2002-01-04 |
Genre | : Education |
ISBN | : 1134717822 |
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 | : Michael Fielding |
Publisher | : Routledge |
Total Pages | : 175 |
Release | : 2016-04-14 |
Genre | : Education |
ISBN | : 131760282X |
The educational writings of John Macmurray, one of the finest 20th century philosophers of his generation, have a special relevance for us today. In similar circumstances of international crisis he argued for the central importance of education addressing fundamental issues of human purpose - how we lead good lives together, the emphasis on wisdom rather than knowledge alone, the advancement of a truly democratic culture, and the overriding importance of community in human flourishing. This remarkable collection of articles from leading international scholars includes the hitherto unpublished John Macmurray lecture – Learning to be Human – and brings together invited contributions from a range of fields and disciplines (e.g. philosophy of education, moral philosophy, care ethics, history of education, theology, religious education, future studies and learning technologies) and a number of countries across the world (e.g. Australia, the UK and the USA). Countering overemphasis on technique and its typical separation from wider human purposes emblematic of much of our current malaise, this book asks what it might mean to take the education of persons seriously and how such a perspective helps us to form judgments about the nature and worth of contemporary education policy and practice. This book was originally published as a special issue of the Oxford Review of Education.
Author | : Arthur W. Melton |
Publisher | : Academic Press |
Total Pages | : 373 |
Release | : 2014-05-12 |
Genre | : Psychology |
ISBN | : 1483258378 |
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 | : Matt Landry |
Publisher | : Learning to Be |
Total Pages | : 112 |
Release | : 2017-04-24 |
Genre | : Body, Mind & Spirit |
ISBN | : 9781521095829 |
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 | : Brian Christian |
Publisher | : W. W. Norton & Company |
Total Pages | : 459 |
Release | : 2020-10-06 |
Genre | : Science |
ISBN | : 039363583X |
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.