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Algorithmic Advances in Riemannian Geometry and Applications. For Machine Learning, Computer Vision, Statistics, and Optimization.
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
Membro dell'associazione: GIAQ ILAB VDA
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EUR 16,00
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Aggiungi al carrelloxiv, 208 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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Artificial Intelligence and Machine Learning Fundamentals: Develop real-world applications powered by the latest AI advances
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 35,52
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Advances in Machine Learning Applications in Software Engineering
Da: Basi6 International, Irving, TX, U.S.A.
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EUR 52,67
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Aggiungi al carrelloCondizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Blockchain Technology and Applications (Advances in Industry 4.0 and Machine Learning)
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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EUR 68,84
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Recent Advances and Applications of Machine Learning in Metal Forming Processes
Da: California Books, Miami, FL, U.S.A.
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EUR 65,23
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Swarm Intelligence and Evolutionary Computation: Theory, Advances and Applications in Machine Learning and Deep Learning
Da: Majestic Books, Hounslow, Regno Unito
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EUR 64,69
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Applications of Machine Learning and Deep Learning on Biological Data (Advances in Computational Collective Intelligence)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 69,46
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EUR 101,95
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 239 | Sprache: Englisch | Produktart: Bücher.
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Challenges and Applications for Implementing Machine Learning in Computer Vision (Advances in Computer and Electrical Engineering)
Editore: Engineering Science Reference, 2019
ISBN 10: 1799801829 ISBN 13: 9781799801825
Lingua: Inglese
Da: Books From California, Simi Valley, CA, U.S.A.
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EUR 101,37
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Aggiungi al carrelloHardcover. Condizione: Very Good.
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Empowering Artificial Intelligence Through Machine Learning: New Advances and Applications
Da: California Books, Miami, FL, U.S.A.
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EUR 107,81
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Swarm Intelligence and Evolutionary Computation : Theory, Advances and Applications in Machine Learning and Deep Learning
Da: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 104,07
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering (Advances in Computational Intelligence and Robotics)
Da: Books From California, Simi Valley, CA, U.S.A.
Valutazione del venditore 4 su 5 stelle
EUR 117,51
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Aggiungi al carrelloHardcover. Condizione: Very Good.
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Machine Learning Applications for Accounting Disclosure and Fraud Detection (Advances in Finance, Accounting, and Economics)
Da: Books From California, Simi Valley, CA, U.S.A.
Valutazione del venditore 4 su 5 stelle
EUR 117,51
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Aggiungi al carrelloHardcover. Condizione: Very Good. Light shelfwear. Pages clean and intact.
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Edge Computing: Fundamentals, Advances and Applications (Advances in Industry 4.0 and Machine Learning)
Da: Majestic Books, Hounslow, Regno Unito
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EUR 120,52
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The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019): 921 (Advances in Intelligent Systems and Computing, 921)
Da: WeBuyBooks, Rossendale, LANCS, Regno Unito
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EUR 134,23
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Aggiungi al carrelloCondizione: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.
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Algorithmic Advances in Riemannian Geometry and Applications : For Machine Learning, Computer Vision, Statistics, and Optimization
Editore: Springer International Publishing, 2018
ISBN 10: 3319831909 ISBN 13: 9783319831909
Lingua: Inglese
EUR 149,79
Convertire valutaEUR 14,99 per la spedizione da Germania a ItaliaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a selection of the most recent algorithmic advances in Riemannian geometry in the context of machine learning, statistics, optimization, computer vision, and related fields. The unifying theme of the different chapters in the book is the exploitation of the geometry of data using the mathematical machinery of Riemannian geometry. As demonstrated by all the chapters in the book, when the data is intrinsically non-Euclidean, the utilization of this geometrical information can lead to better algorithms that can capture more accurately the structures inherent in the data, leading ultimately to better empirical performance. This book is not intended to be an encyclopedic compilation of the applications of Riemannian geometry. Instead, it focuses on several important research directions that are currently actively pursued by researchers in the field. These include statistical modeling and analysis on manifolds,optimization on manifolds, Riemannian manifolds and kernel methods, and dictionary learning and sparse coding on manifolds. Examples of applications include novel algorithms for Monte Carlo sampling and Gaussian Mixture Model fitting, 3D brain image analysis,image classification, action recognition, and motion tracking.
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Applications of Machine Learning and Deep Learning on Biological Data (Advances in Computational Collective Intelligence)
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 161,27
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Blockchain Technology and Applications (Advances in Industry 4.0 and Machine Learning)
Da: Majestic Books, Hounslow, Regno Unito
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EUR 160,01
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Machine Learning in Educational Sciences : Approaches, Applications and Advances
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 155,07
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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EUR 171,38
Convertire valutaGratis per la spedizione da Germania a ItaliaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 816 | Sprache: Englisch | Produktart: Bücher.
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Machine Learning and Cognitive Science Applications in Cyber Security (Advances in Computational Intelligence and Robotics)
Editore: Information Science Reference, 2019
ISBN 10: 1522581006 ISBN 13: 9781522581000
Lingua: Inglese
Da: Books From California, Simi Valley, CA, U.S.A.
Valutazione del venditore 4 su 5 stelle
EUR 165,05
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Aggiungi al carrellohardcover. Condizione: Very Good.
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Machine Learning Paradigms : Advances in Deep Learning-based Technological Applications
Editore: Springer International Publishing, 2020
ISBN 10: 3030497232 ISBN 13: 9783030497231
Lingua: Inglese
EUR 160,49
Convertire valutaEUR 14,99 per la spedizione da Germania a ItaliaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4) Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance.This research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.
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Machine Learning Paradigms : Advances in Deep Learning-based Technological Applications
Editore: Springer International Publishing, 2021
ISBN 10: 3030497267 ISBN 13: 9783030497262
Lingua: Inglese
EUR 160,49
Convertire valutaEUR 14,99 per la spedizione da Germania a ItaliaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4) Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance.This research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.
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Federated Learning: Fundamentals and Advances (Machine Learning: Foundations, Methodologies, and Applications)
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 170,64
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Metaheuristics for Machine Learning: New Advances and Tools (Computational Intelligence Methods and Applications)
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 170,64
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Applications of Machine Learning and Artificial Intelligence in Education (Advances in Educational Technologies and Instructional Design)
Editore: Information Science Reference, 2022
ISBN 10: 1799877779 ISBN 13: 9781799877776
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 173,20
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Empowering Artificial Intelligence Through Machine Learning : New Advances and Applications
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 172,28
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Machine Learning in Educational Sciences : Approaches, Applications and Advances
Editore: Springer Nature Singapore, Springer Nature Singapore, 2025
ISBN 10: 9819993814 ISBN 13: 9789819993819
Lingua: Inglese
EUR 175,09
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Recent Advances in Internet of Things and Machine Learning : Real-World Applications
Editore: Springer International Publishing, 2022
ISBN 10: 3030901181 ISBN 13: 9783030901189
Lingua: Inglese
EUR 181,89
Convertire valutaEUR 14,99 per la spedizione da Germania a ItaliaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.
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Recent Advances in Internet of Things and Machine Learning : Real-World Applications
Editore: Springer International Publishing, 2023
ISBN 10: 3030901211 ISBN 13: 9783030901219
Lingua: Inglese
EUR 181,89
Convertire valutaEUR 14,99 per la spedizione da Germania a ItaliaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.
