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English | 2024 | ISBN: n/a | 128 Pages | EPUB (True) | 7 MB

Free Download Yuxi (Hayden) Liu, "Python Machine Learning By Example: Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition"
English | 2019 | pages: 371 | ISBN: 1789616727 | PDF | 18,9 mb
Grasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learn

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English | 2024 | ISBN: 3031432290 | 475 Pages | PDF EPUB (True) | 27 MB
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 service models. Emphasizing that, above all else, individuals are at the centre of services, the book goes deeply into the nature of public services and their logic-of-practice. By applying learning and problem-solving approaches, the reader gains practical capabilities in addition to an appreciation of the latest research literature. Following a multidisciplinary, international approach, the book suggests a new typology of problem-framing and presents many examples of how new service solutions can be created in any public service context.

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English | 2023 | ISBN: 3988315826 | 87 Pages | PDF EPUB | 1.3 MB

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English | 2024 | ISBN: 9819970067 | 245 Pages | PDF EPUB (True) | 20 MB
This book deals with the exciting, seminal topic of Online Machine Learning (OML). The content is divided into three parts: the first part looks in detail at the theoretical foundations of OML, comparing it to Batch Machine Learning (BML) and discussing what criteria should be developed for a meaningful comparison. The second part provides practical considerations, and the third part substantiates them with concrete practical applications.

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English | February 10, 2023 | ISBN: 1032225084 | True EPUB | 188 pages | 8.8 MB
This book discusses the newest approach to online learning systems in higher education. As e-Learning platforms change their mechanisms for data processing and storage, there is a need to move these systems toward being more efficient and smarter. This book covers online learning systems and their application to large-scale data along with the technological aspects of these processes and problem-solving methods.

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English | ISBN: 1443874582 | 2015 | 290 pages | PDF | 2 MB
The contributions to this volume explore several focal issues related to the global spread of English and their implications for English language teaching, providing both theoretical and empirical perspectives on recent research and implications in educational terms. The volume is divided into three thematic sections, namely "Developments in ELF research and pedagogic implications", "Raising teachers' awareness of ELF", and "ELF and ELT practices". The book provides up-to-date perspectives on the issues, implications and repercussions that findings in ELF research can have for ELT practices. The contributors are all scholars and researchers who have long been engaged in ELF-related research, and who have undertaken operational and practical work in the field, and, as such, offer novel perspectives on the effects of EFL research on the teaching and learning of English. The volume also presents the findings of innovative projects in teacher education, involving pre- and in-service teachers, providing exemplificative good practices of possible new routes into pluralistic, ELF-aware and ELF-oriented didactic perspectives.

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English | 2024 | ISBN: 3031527666 | 117 Pages | PDF EPUB (True) | 20 MB
This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in continuum mechanics, being addressed to Master and PhD students, as well as to researchers, lecturers and instructors. The aim of the authors is to provide tools for a better understanding and implement reduced order models by using: physics-based models, synthetic data forecast by these models, experimental data and deep learning algorithms. The book involves a survey of key methods of model order reduction applied to model-based engineering and digital twining, by learning linear or nonlinear latent spaces.

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by Keiko Nakamura
English | 2024 | ISBN: 8119177932 | 232 Pages | PDF (conv) | 7 MB

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English | 2024 | ISBN: 9819993784 | 401 Pages | PDF EPUB (True) | 30 MB
This comprehensive volume investigates the untapped potential of machine learning in educational settings. It examines the profound impact machine learning can have on reshaping educational research. Each chapter delves into specific applications and advancements, sheds light on theory-building, and multidisciplinary research, and identifies areas for further development. It encompasses various topics, such as machine-based learning in psychological assessment. It also highlights the power of machine learning in analyzing large-scale international assessment data and utilizing natural language processing for science education. With contributions from leading scholars in the field, this book provides a comprehensive, evidence-based framework for leveraging machine-learning approaches to enhance educational outcomes. The book offers valuable insights and recommendations that could help shape the future of educational sciences.