Machine And Human Learning
DOWNLOAD
Download Machine And Human Learning PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Machine And Human Learning book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Artificial Intelligence Accelerates Human Learning
DOWNLOAD
Author : Katashi Nagao
language : en
Publisher: Springer
Release Date : 2019-02-02
Artificial Intelligence Accelerates Human Learning written by Katashi Nagao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-02 with Education categories.
Focusing on students’ presentations and discussions in laboratory seminars, this book presents case studies on evidence-based education using artificial intelligence (AI) technologies. It proposes a system to help users complete research activities, and a machine-learning method that makes the system suitable for long-term operation by performing data mining for discussions and automatically extracting essential tasks. By illustrating the complete process – proposal, implementation, and operation – of applying machine learning techniques to real-world situations, the book will inspire researchers and professionals to develop innovative new applications for education. The book is divided into six chapters, the first of which provides an overview of AI research and practice in education. In turn, Chapter 2 describes a mechanism for applying data analytics to student discussions and utilizing the results for knowledge creation activities such as research. Based on discussion data analytics, Chapter 3 describes a creative activity support system that effectively utilizes the analytical results of the discussion for subsequent activities. Chapter 4 discusses the incorporation of a gamification method to evaluate and improve discussion skills while maintaining the motivation to participate in the discussion. Chapters 5 and 6 describe an advanced learning environment for honing students’ discussion and presentation skills. Two important systems proposed here are a presentation training system using virtual reality technologies, and an interactive presentation/discussion training system using a humanoid robot. In the former, the virtual space is constructed by measuring the three-dimensional shape of the actual auditorium, presentations are performed in the same way as in the real world, and the AI as audience automatically evaluates the presentation and provides feedback. In the latter, a humanoid robot makes some remarks on and asks questions about students’ presentations, and the students practice responding to it.
Ict Innovations 2023 Learning Humans Theory Machines And Data
DOWNLOAD
Author : Marija Mihova
language : en
Publisher: Springer Nature
Release Date : 2024-02-26
Ict Innovations 2023 Learning Humans Theory Machines And Data written by Marija Mihova and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-26 with Computers categories.
This book constitutes the refereed proceedings of the 15th International Conference on ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data, ICT Innovations 2023, held in Ohrid, North Macedonia during September 24–26, 2023. The 17 full papers included in this book were carefully reviewed and selected from 52 submissions. They are organized in sections by topics as follows: AI and natural language processing; bioinformatics; dew computing; e-learning and e-services; image processing; network science; theoretical informatics.
Machine Learning
DOWNLOAD
Author : Ryszard S. Michalski
language : en
Publisher: Morgan Kaufmann
Release Date : 1994-02-09
Machine Learning written by Ryszard S. Michalski and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-02-09 with Computers categories.
Multistrategy learning is one of the newest and most promising research directions in the development of machine learning systems. The objectives of research in this area are to study trade-offs between different learning strategies and to develop learning systems that employ multiple types of inference or computational paradigms in a learning process. Multistrategy systems offer significant advantages over monostrategy systems. They are more flexible in the type of input they can learn from and the type of knowledge they can acquire. As a consequence, multistrategy systems have the potential to be applicable to a wide range of practical problems. This volume is the first book in this fast growing field. It contains a selection of contributions by leading researchers specializing in this area. See below for earlier volumes in the series.
Theories Of Human Learning
DOWNLOAD
Author : Guy R. Lefrançois
language : en
Publisher: Cambridge University Press
Release Date : 2019-10-24
Theories Of Human Learning written by Guy R. Lefrançois and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-24 with Education categories.
Mrs Gribbin invites you to join her as she explores the changing landscape of learning theories and their implications.
Minds And Machines
DOWNLOAD
Author : Barrett Williams
language : en
Publisher: Barrett Williams
Release Date : 2025-03-20
Minds And Machines written by Barrett Williams and has been published by Barrett Williams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-20 with Technology & Engineering categories.
Unlock the secrets of the mind and machine with "Minds and Machines," a groundbreaking exploration at the intersection of neuroscience and artificial intelligence. Dive into a compelling narrative that unravels the intricate dance between human cognition and cutting-edge technology, offering you a front-row seat to the fusion of two fascinating worlds. Begin your journey with a historical overview of how ancient philosophies have evolved into today's neural networks. Grasp the complexity and elegance of neural computations as you venture into the foundations that support the marvels of modern AI. Discover how artificial neural networks strive to imitate the cognitive abilities of the human brain, transforming theory into practice. "Minds and Machines" guides you through the cognitive processes in machines, revealing how AI systems form memories, focus attention, and make decisions with a level of bounded rationality reminiscent of human thought. Delve into the field of human perception emulation, where AI deciphers the world through vision, language, and sound, seeking to understand and emulate our sensory experiences. Explore the revolutionary world of brain-computer interfaces, where direct communication between humans and machines becomes reality. Examine the technical challenges and philosophical questions that this new frontier raises, as the lines between organic and silicon blur. Engage with thought-provoking discussions on the nature of consciousness, the ethics of artificial minds, and the societal impacts of increasingly autonomous AI systems. "Minds and Machines" is not just an intellectual exploration; it is a practical guide too, showcasing successful applications in diverse fields—from healthcare to autonomous transportation—and offering a glimpse into the future directions of neuro-AI research. This captivating book invites you to imagine a world where human and artificial intelligence coexist, learning from each other and advancing together. Welcome to the synergy of minds.
Active Learning
DOWNLOAD
Author : Sílvio Manuel Brito
language : en
Publisher: BoD – Books on Demand
Release Date : 2019-10-02
Active Learning written by Sílvio Manuel Brito and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-02 with Education categories.
Active learning is now a form of learning that accompanies the knowledge evolution that challenges the learner to promote it, but also encourages him to investigate and become emotionally involved in the task. The great key to obtaining this behavior successfully depends, therefore, on the subject's involvement and ability to undertake, so that active learning becomes emotional entrepreneurial learning that generates new ideas and new forms of knowledge. From memorization, we move on to inquiry, from questioning to constructive participation, from hypostasis to problem-solving, from generalization to critical thinking. When we look at this book, we see real examples, concrete, and senses, from the most important act of human nature: learning!
Posthumanist Learning
DOWNLOAD
Author : Cathrine Hasse
language : en
Publisher: Routledge
Release Date : 2020-01-03
Posthumanist Learning written by Cathrine Hasse and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-03 with Psychology categories.
In this text Hasse presents a new, inclusive, posthuman learning theory, designed to keep up with the transformations of human learning resulting from new technological experiences, as well as considering the expanding role of cyborg devices and robots in learning. This ground-breaking book draws on research from across psychology, education, and anthropology to present a truly interdisciplinary examination of the relationship between technology, learning and humanity. Posthumanism questions the self-evident status of human beings by exploring how technology is changing what can be categorised as "human". In this book, the author applies a posthumanist lens to traditional learning theory, challenging conventional understanding of what a human learner is, and considering how technological advances are changing how we think about this question. Throughout the book Hasse uses vignettes of her own research and that of other prominent academics to exemplify what technology can tell us about how we learn and how this can be observed in real-life settings. Posthumanist Learning is essential reading for students and researchers of posthumanism and learning theory from a variety of backgrounds, including psychology, education, anthropology, robotics and philosophy.
Foundations Of Machine
DOWNLOAD
Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-04-06
Foundations Of Machine written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-06 with Technology & Engineering categories.
EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels.
Machines That Learn To Play Games
DOWNLOAD
Author : Johannes Fürnkranz
language : en
Publisher: Nova Publishers
Release Date : 2001
Machines That Learn To Play Games written by Johannes Fürnkranz and has been published by Nova Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
The mind-set that has dominated the history of computer game playing relies on straightforward exploitation of the available computing power. The fact that a machine can explore millions of variations sooner than the sluggish human can wink an eye has inspired hopes that the mystery of intelligence can be cracked, or at least side-stepped, by sheer force. Decades of the steadily growing strength of computer programs have attested to the soundness of this approach. It is clear that deeper understanding can cut the amount of necessary calculations by orders of magnitude. The papers collected in this volume describe how to instill learning skills in game playing machines. The reader is asked to keep in mind that this is not just about games -- the possibility that the discussed techniques will be used in control systems and in decision support always looms in the background.
Machine Learning In Translation
DOWNLOAD
Author : Peng Wang
language : en
Publisher: Taylor & Francis
Release Date : 2023-04-12
Machine Learning In Translation written by Peng Wang and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-12 with Language Arts & Disciplines categories.
Machine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes, approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans. Providing an exploration of the common ground between human and machine learning and of the nature of translation that leverages this new dimension, this book helps linguists, translators, and localizers better find their added value in a ML-driven translation environment. Part One explores how humans and machines approach the problem of translation in their own particular ways, in terms of word embeddings, chunking of larger meaning units, and prediction in translation based upon the broader context. Part Two introduces key tasks, including machine translation, translation quality assessment and quality estimation, and other Natural Language Processing (NLP) tasks in translation. Part Three focuses on the role of data in both human and machine learning processes. It proposes that a translator’s unique value lies in the capability to create, manage, and leverage language data in different ML tasks in the translation process. It outlines new knowledge and skills that need to be incorporated into traditional translation education in the machine learning era. The book concludes with a discussion of human-centered machine learning in translation, stressing the need to empower translators with ML knowledge, through communication with ML users, developers, and programmers, and with opportunities for continuous learning. This accessible guide is designed for current and future users of ML technologies in localization workflows, including students on courses in translation and localization, language technology, and related areas. It supports the professional development of translation practitioners, so that they can fully utilize ML technologies and design their own human-centered ML-driven translation workflows and NLP tasks.