Free Download Manifold Learning: Model Reduction in Engineering
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

Free Download Machine Learning in Educational Sciences: Approaches, Applications and Advances
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.

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Practical guide to building intelligent mobile applications powered by machine learning
by Revathi Gopalakrishnan

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English | 2024 | ISBN: 1032472243 | 386 Pages | PDF (True) | 25 MB
This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The contents are organized from the applications requiring few methods to the ones combining different methods and discussing their development and hardware/software implementation. The book includes two parts: the first one collects machine learning applications in complex systems, mainly discussing developments highlighting their modeling and simulation, and hardware implementation. The second part collects applications of machine learning in unmanned systems including optimization and case studies in submarines, drones, and robots. The chapters discuss miscellaneous applications required by both complex and unmanned systems, in the areas of artificial intelligence, cryptography, embedded hardware, electronics, the Internet of Things, and healthcare. Each chapter provides guidelines and details of different methods that can be reproduced in hardware/software and discusses future research.

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James Harrison
English | 2023 | ISBN: n/a | 431 Pages | ePUB | 5.32 MB

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by Vasques, Xavier;
English | 2024 | ISBN: 1394220618 | 512 pages | True EPUB | 26.89 MB

Free Download Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI
English | 2024 | ISBN: 1718503768 | 279 Pages | PDF/ EPUB | 8/29 MB
If you've locked down the basics of machine learning and AI and want a fun way to address lingering knowledge gaps, this book is for you. This rapid-fire series of short chapters addresses 30 essential questions in the field, helping you stay current on the latest technologies you can implement in your own work.

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English | April 16, 2024 | ISBN: 1718503768 | True EPUB | 264 pages | 25 MB
Learn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field.

Free Download Machine Learning Concepts from A to Z: A Comprehensive Guide with Code: Machine Learning Mastery: From A to Z with Code - Practical Examples, Algorithms, and Applications
by Vanshika Choudhary
English | 2023 | ASIN: B0CL7M4LLZ | 131 Pages | PDF (conv) | 12 MB