Author: Leston L. HavensPublisher: Addison Wesley Publishing Company
ISBN:
Category : Psychology
Languages : en
Pages : 168
Book Description
Learning To Be Human
Author: Leston L. HavensPublisher: Addison Wesley Publishing Company
ISBN:
Category : Psychology
Languages : en
Pages : 168
Book Description
Human-in-the-Loop Machine Learning
Author: Robert MunroPublisher: Simon and Schuster
ISBN: 1617296740
Category : Computers
Languages : en
Pages : 422
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.
Learning to Be Human Again
Author: Matt LandryPublisher: Learning to Be
ISBN: 9781521095829
Category : Body, Mind & Spirit
Languages : en
Pages : 112
Book Description
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.
Human and Machine Learning
Author: Jianlong ZhouPublisher: Springer
ISBN: 3319904035
Category : Computers
Languages : en
Pages : 482
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.
Learning to be Human
Author: La ButcherPublisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0
Book Description
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.
Human Cognition
Author: John BransfordPublisher: Thomson Brooks/Cole
ISBN:
Category : Education
Languages : en
Pages : 324
Book Description
The Alignment Problem: Machine Learning and Human Values
Author: Brian ChristianPublisher: W. W. Norton & Company
ISBN: 039363583X
Category : Science
Languages : en
Pages : 459
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.
Categories of Human Learning
Author: Arthur W. MeltonPublisher: Academic Press
ISBN: 1483258378
Category : Psychology
Languages : en
Pages : 370
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.
Human brain & human learning : updated
Author: Leslie A. HartPublisher:
ISBN: 9780962447594
Category : Educational psychology
Languages : en
Pages : 416
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.
Scratch and Learn Human Body
Author: Katy FlintPublisher: Wide Eyed Editions
ISBN: 1786033232
Category : Juvenile Nonfiction
Languages : en
Pages : 19
Book Description
See the human body as never before, in this unique scratch and discover format. Every spread addresses a new theme, teaching little ones about our skeletons, muscles, and brains! An appealing, interactive first introduction to how our bodies work—with activities to help understanding.