Theoryoflearning – alle Bücher

Computer-Aided and Machine Learning-Driven Drug Design

The computer-aided drug design research field comprises several different knowledge areas, and often, researchers are only familiar or experienced with a small fraction of them. Indeed, pharmaceutical ind…

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David C. Gibson, Dirk Ifenthaler
Computational Learning Theories

This book shows how artificial intelligence grounded in learning theories can promote individual learning, team productivity and multidisciplinary knowledge-building. It advances the learning sciences by …

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Prashad
Optimization Algorithms for Machine Learning: Theory and Practice

In the realm of machine learning, optimization algorithms play a pivotal role in refining models for optimal performance. These algorithms, ranging from classic gradient descent to advanced techniques lik…

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Science Education in Theory and Practice

This book addresses the critical role of science education in the context of global growth and development, emphasizing its significance in the advancement of societal progress. The book identifies and ex…

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Amin Shahini
Language Learning Theories

This book demystifies language learning theories and offers clear explanations, interactive exercises, and summary tables to help students connect theory with practice. It explores key frameworks such as …

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Yury Polyanskiy, Yihong Wu
Information Theory

This enthusiastic introduction to the fundamentals of information theory builds from classical Shannon theory through to modern applications in statistical learning, equipping students with a uniquely wel…

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Shinichi Nakajima, Kazuho Watanabe, Masashi Sugiyama
Variational Bayesian Learning Theory

Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the no…

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Kinky
Exploring Optimization Algorithms in Machine Learning: From Theory to Practice

Optimization algorithms in machine learning bridge theoretical foundations with practical applications, crucial for refining model performance. Techniques like gradient descent, stochastic gradient descen…

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Petra Rauschert, Jacqueline Alexander
Intercultural Service Learning

This book provides a much-needed overview of the theory and practice of intercultural service learning, an approach that combines curricular learning, intercultural encounters and community service. It in…

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Petra Rauschert, Jacqueline Alexander
Intercultural Service Learning

This book provides a much-needed overview of the theory and practice of intercultural service learning, an approach that combines curricular learning, intercultural encounters and community service. It in…

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Anna Mariguddi
Informal Learning in Music Education

Informal Learning in Music Education: Exploring Theory in Practice examines how informal learning pedagogy is understood, implemented and experienced in music education.It highlights some of the benefits …

Erscheint bald

Buch

Massih-Reza Amini
Advanced Supervised and Semi-supervised Learning

Machine learning is one of the leading areas of artificial intelligence. It concerns the study and development of quantitative models that enable a computer to carry out operations without having been exp…

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Learning Mathematics by Cultural-Historical Theory Implementation

This book is devoted to the topic of mathematical skills development, which was the focus of Vygotsky's cultural-historical theory. It offers descriptions of studies of development of visual modelling in …

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Theory Informing and Arising from Learning Analytics

Theory Informing and Arising from Learning Analytics delves into the dynamic intersection of learning theory and educational data analysis within the field of Learning Analytics (LA). This groundbreaking …

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Buch

Sergios Theodoridis
Machine Learning

Machine Learning: From the Classics to Deep Networks, Transformers and Diffusion Models, Third Edition starts with the basics, including least squares regression and maximum likelihood methods, Bayesian d…

lieferbar in mind. 4 Wochen

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Steffen E Palko
Knowledge and Learning

Using insights from the fields of Philosophy, Cognitive Science, Education, Nonlinear Systems Theory, and Theory of Language, a comprehensive theory of knowledge and learning is derived that is correspond…

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Oleksandr Kuznetsov
Intelligent Systems: From Theory to Applications

"Dedication.- Acknowledgments.- Foreword.- Preface.- About This Book.- Acronyms.- 1".- " Introduction to Intelligent Systems".- "2. The Evolution of Artificial Intelligence".…

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Laura L Bierema, Monica Fedeli, Sharan B Merriam
Adult Learning

An accessible, research-based primer on how adults learn, and how best to teach them"This book is a must-have, comprehensive resource for adult educators seeking to master the theory and practice of …

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Jari Stenvall, Tony Kinder
Problem-solving and Learning for Public Services and Public Management

In this textbook readers will acquire knowledge of problem-solving and learning to enhance both efficiency and the experience of service users in rapidly changing service environments, that can create new…

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Wilson Tsakane Mongwe, Tshilidzi Marwala, Rendani Mbuvha
Bayesian Machine Learning in Quantitative Finance

This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling problems within quantitative fi…

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