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In den WarenkorbPaperback. Zustand: Brand New. 294 pages. 9.18x6.12x9.21 inches. In Stock.
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Sprache: Englisch
Verlag: Apple Academic Press Inc., 2022
ISBN 10: 1774638681 ISBN 13: 9781774638682
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 564 | Sprache: Englisch | Produktart: Bücher | This volume takes the reader on a technological voyage of machine learning advancements, highlighting the systematic changes in algorithms, challenges, and constraints. The technological advancements in the ML arena have transformed and revolutionized several fields, including transportation, agriculture, finance, weather monitoring, and others. This book brings together researchers, authors, industrialists, and academicians to cover a vast selection of topics in ML, starting with the rudiments of machine learning approaches and going on to specific applications in healthcare and industrial automation.The book begins with an overview of the ethics, security and privacy issues, future directions, and challenges in machine learning as well as a systematic review of deep learning techniques and provides an understanding of building generative adversarial networks. Chapters explore predictive data analytics for health issues. The book also adds a macro dimension by highlighting the industrial applications of machine learning, such as in the steel industry, for urban information retrieval, in garbage detection, in measuring air pollution, for stock market predictions, for underwater fish detection, as a fake news predictor, and more.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 240,85
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In den WarenkorbZustand: New. In.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 248,27
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In den WarenkorbZustand: New.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 247,34
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In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 452 | Sprache: Englisch | Produktart: Bücher | In the modern data-driven era, artificial intelligence (AI) and machine learning (ML) technologies that allow a computer to mimic intelligent human behavior are essential for organizations to achieve business excellence and assist organizations in extracting useful information from raw data. AI and ML have existed for decades, but in the age of big data, this sort of analysis is in higher demand than ever, especially for customer support and analytics. The Handbook of Research on AI and Machine Learning Applications in Customer Support and Analytics investigates the applications of AI and ML and how they can be implemented to enhance customer support and analytics at various levels of organizations. This book is ideal for marketing professionals, managers, business owners, researchers, practitioners, academicians, instructors, university libraries, and students, and covers topics such as artificial intelligence, machine learning, supervised learning, deep learning, customer sentiment analysis, data mining, neural networks, and business analytics.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Handbook of Machine Learning Applications for Genomics | Sanjiban Sekhar Roy (u. a.) | Taschenbuch | x | Englisch | 2023 | Springer | EAN 9789811691607 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 316,73
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In den WarenkorbHardcover. Zustand: Brand New. 280 pages. 9.50x6.25x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Information Science Reference, 2019
ISBN 10: 1522596119 ISBN 13: 9781522596110
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 319,88
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Sprache: Englisch
Verlag: Engineering Science Reference, 2019
ISBN 10: 1522599029 ISBN 13: 9781522599029
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 319,88
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In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Currently, machine learning is playing a pivotal role in the progress of genomics. The applications of machine learning are helping all to understand the emerging trends and the future scope of genomics. This book provides comprehensive coverage of machine learning applications such as DNN, CNN, and RNN, for predicting the sequence of DNA and RNA binding proteins, expression of the gene, and splicing control. In addition, the book addresses the effect of multiomics data analysis of cancers using tensor decomposition, machine learning techniques for protein engineering, CNN applications on genomics, challenges of long noncoding RNAs in human disease diagnosis, and how machine learning can be used as a tool to shape the future of medicine. More importantly, it gives a comparative analysis and validates the outcomes of machine learning methods on genomic data to the functional laboratory tests or by formal clinical assessment. The topics of this book will cater interest to academicians, practitioners working in the field of functional genomics, and machine learning. Also, this book shall guide comprehensively the graduate, postgraduates, and Ph.D. scholars working in these fields.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Currently, machine learning is playing a pivotal role in the progress of genomics. The applications of machine learning are helping all to understand the emerging trends and the future scope of genomics. This book provides comprehensive coverage of machine learning applications such as DNN, CNN, and RNN, for predicting the sequence of DNA and RNA binding proteins, expression of the gene, and splicing control. In addition, the book addresses the effect of multiomics data analysis of cancers using tensor decomposition, machine learning techniques for protein engineering, CNN applications on genomics, challenges of long noncoding RNAs in human disease diagnosis, and how machine learning can be used as a tool to shape the future of medicine. More importantly, it gives a comparative analysis and validates the outcomes of machine learning methods on genomic data to the functional laboratory tests or by formal clinical assessment. The topics of this book will cater interest to academicians, practitioners working in the field of functional genomics, and machine learning. Also, this book shall guide comprehensively the graduate, postgraduates, and Ph.D. scholars working in these fields.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 339,21
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 341,17
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In den WarenkorbHardcover. Zustand: Brand New. 564 pages. 9.19x6.13x1.18 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 373,09
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In den WarenkorbPaperback. Zustand: Brand New. 228 pages. 9.25x6.10x0.63 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 375,05
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In den WarenkorbHardcover. Zustand: Brand New. 228 pages. 9.25x6.10x0.79 inches. In Stock.
Sprache: Englisch
Verlag: Engineering Science Reference, 2019
ISBN 10: 1522599029 ISBN 13: 9781522599029
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 492 | Sprache: Englisch | Produktart: Bücher | Artificial intelligence is at the forefront of research and implementation in many industries including healthcare and agriculture. Whether it's detecting disease or generating algorithms, deep learning techniques are advancing exponentially. Researchers and professionals need a platform in which they can keep up with machine learning trends and their developments in the real world. The Handbook of Research on Applications and Implementations of Machine Learning Techniques provides innovative insights into the multi-disciplinary applications of machine learning algorithms for data analytics. The content within this publication examines disease identification, neural networks, and language support. It is designed for IT professionals, developers, data analysts, technology specialists, R&D professionals, industrialists, practitioners, researchers, academicians, and students seeking research on deep learning procedures and their enactments in the fields of medicine, engineering, and computer science.
Sprache: Englisch
Verlag: Engineering Science Reference, 2019
ISBN 10: 1522596437 ISBN 13: 9781522596431
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 415,12
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