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Ai for Time Series : Unlocking Patterns With Deep Learning
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Ai for Time Series : Unlocking Patterns With Deep Learning
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AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning
Da: Majestic Books, Hounslow, Regno Unito
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EUR 74,76
Spedizione EUR 7,50
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AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning
Da: Chiron Media, Wallingford, Regno Unito
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EUR 68,30
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Ai for Time Series : Unlocking Patterns With Deep Learning
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 71,78
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Ai for Time Series: Unlocking Patterns With Deep Learning: Vol 1
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Advanced Data Mining and Applications: 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part II (Lecture Notes in Artificial Intelligence)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Ai for Time Series : Unlocking Patterns With Deep Learning
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Advanced Data Mining and Applications : 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part II
Da: Chiron Media, Wallingford, Regno Unito
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EUR 81,87
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AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning
Da: Biblios, Frankfurt am main, HESSE, Germania
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AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning
Da: Books Puddle, New York, NY, U.S.A.
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Advanced Data Mining and Applications: 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part I (Lecture Notes in Artificial Intelligence)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Advanced Data Mining and Applications : 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part I
Da: Chiron Media, Wallingford, Regno Unito
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EUR 88,18
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AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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AI for Time Series (Paperback)
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2026
ISBN 10: 1041010311 ISBN 13: 9781041010319
Da: CitiRetail, Stevenage, Regno Unito
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EUR 76,68
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift, and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advanced algorithms that are transforming time series analysis across industries. The authors highlight the use of AI models, particularly those based on deep learning, to study the sequence of data points collected at successive points in time.In the study of the use of AI for general time series analysis, readers are introduced to a recent important model like TimesNet, which has set new benchmarks for general time series analysis. TimesNet is a cutting-edge model for time series analysis, which transforms one-dimensional time series data into two-dimensional space to better capture temporal variations. This approach allows TimesNet to excel in various tasks such as short- and long-term forecasting, imputation, classification, and anomaly detection. The authors also discuss distribution shift in time series, with an important coverage on the use of AdaTime. This is a benchmarking suite for domain adaptation which addresses distribution shifts in time series data through Unsupervised Domain Adaptation (UDA). In the last section, a significant focus is placed on the emergence of time series foundation models, particularly for forecasting. The book explores pioneering models like Time-LLM, which are designed to offer universal forecasting capabilities across diverse time series tasks.The book can be used as supplementary reading for graduate students taking advanced topics/seminars on advanced deep learning and foundation models. It is also a useful reference for researchers and engineers working on time-series applications in finance, healthcare, energy, and climate. This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advance algorithms that are transforming time series analysis across industries. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Advanced Data Mining and Applications: 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28?30, 2022, Proceedings, Part II (Lecture Notes in Computer Science, 13726)
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Advanced Data Mining and Applications
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Switzerland|Springer, 2023
ISBN 10: 3031221362 ISBN 13: 9783031221361
EUR 74,71
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EUR 77,45
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Aggiungi al carrelloCondizione: New. Min Wu is currently a Principal Scientist at Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore.Emadeldeen Eldele is an Assistant Professor at Khalifa University, UAE.Zhen.
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Advanced Data Mining and Applications
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Switzerland|Springer, 2023
ISBN 10: 3031220633 ISBN 13: 9783031220630
EUR 83,50
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Advanced Data Mining and Applications: 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28?30, 2022, Proceedings, Part I (Lecture Notes in Computer Science, 13725)
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Advanced Data Mining and Applications: 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 2830, 2022, Proceedings, Part II: 13726 (Lecture Notes in Computer Science, 13726)
Da: Revaluation Books, Exeter, Regno Unito
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EUR 127,85
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Aggiungi al carrelloPaperback. Condizione: Brand New. 509 pages. 9.25x6.10x1.02 inches. In Stock.
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AI for Time Series : Volume 1: Unlocking Patterns with Deep Learning
Lingua: Inglese
Editore: Taylor & Francis Ltd Mai 2026, 2026
ISBN 10: 1041010311 ISBN 13: 9781041010319
EUR 79,52
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift, and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advanced algorithms that are transforming time series analysis across industries. The authors highlight the use of AI models, particularly those based on deep learning, to study the sequence of data points collected at successive points in time.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Advanced Data Mining and Applications | 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part II | Weitong Chen (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xxii | Englisch | 2022 | Springer | EAN 9783031221361 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Advanced Data Mining and Applications : 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28¿30, 2022, Proceedings, Part II
Lingua: Inglese
Editore: Springer Nature Switzerland, 2022
ISBN 10: 3031221362 ISBN 13: 9783031221361
EUR 85,59
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The two-volume set LNAI 13725 and 13726 constitutes the proceedings of the 18th International Conference on Advanced Data Mining and Applications, ADMA 2022, which took place in Brisbane, Queensland, Australia, in November 2022.The 72 papers presented in the proceedings were carefully reviewed and selected from 198 submissions. The contributions were organized in topical sections as follows: Finance and Healthcare; Web and IoT Applications; On-device Application; Other Applications; Pattern Mining; Graph Mining; Text Mining; Image, Multimedia and Time Series Data Mining; Classification, Clustering and Recommendation; Multi-objective, Optimization, Augmentation, and Database; and Others.
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Advanced Data Mining and Applications: 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 2830, 2022, Proceedings, Part I: 13725 (Lecture Notes in Computer Science, 13725)
Da: Revaluation Books, Exeter, Regno Unito
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EUR 141,94
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Aggiungi al carrelloPaperback. Condizione: Brand New. 559 pages. 9.25x6.10x1.61 inches. In Stock.
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EUR 86,20
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Advanced Data Mining and Applications | 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part I | Weitong Chen (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xxii | Englisch | 2022 | Springer | EAN 9783031220630 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Advanced Data Mining and Applications : 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28¿30, 2022, Proceedings, Part I
Lingua: Inglese
Editore: Springer Nature Switzerland, 2022
ISBN 10: 3031220633 ISBN 13: 9783031220630
EUR 96,29
Spedizione EUR 64,19
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The two-volume set LNAI 13725 and 13726 constitutes the proceedings of the 18th International Conference on Advanced Data Mining and Applications, ADMA 2022, which took place in Brisbane, Queensland, Australia, in November 2022.The 72 papers presented in the proceedings were carefully reviewed and selected from 198 submissions. The contributions were organized in topical sections as follows: Finance and Healthcare; Web and IoT Applications; On-device Application; Other Applications; Pattern Mining; Graph Mining; Text Mining; Image, Multimedia and Time Series Data Mining; Classification, Clustering and Recommendation; Multi-objective, Optimization, Augmentation, and Database; and Others.
-
AI for Time Series (Paperback)
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2026
ISBN 10: 1041010311 ISBN 13: 9781041010319
Da: AussieBookSeller, Truganina, VIC, Australia
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EUR 142,39
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift, and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advanced algorithms that are transforming time series analysis across industries. The authors highlight the use of AI models, particularly those based on deep learning, to study the sequence of data points collected at successive points in time.In the study of the use of AI for general time series analysis, readers are introduced to a recent important model like TimesNet, which has set new benchmarks for general time series analysis. TimesNet is a cutting-edge model for time series analysis, which transforms one-dimensional time series data into two-dimensional space to better capture temporal variations. This approach allows TimesNet to excel in various tasks such as short- and long-term forecasting, imputation, classification, and anomaly detection. The authors also discuss distribution shift in time series, with an important coverage on the use of AdaTime. This is a benchmarking suite for domain adaptation which addresses distribution shifts in time series data through Unsupervised Domain Adaptation (UDA). In the last section, a significant focus is placed on the emergence of time series foundation models, particularly for forecasting. The book explores pioneering models like Time-LLM, which are designed to offer universal forecasting capabilities across diverse time series tasks.The book can be used as supplementary reading for graduate students taking advanced topics/seminars on advanced deep learning and foundation models. It is also a useful reference for researchers and engineers working on time-series applications in finance, healthcare, energy, and climate. This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advance algorithms that are transforming time series analysis across industries. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
-
Ai for Time Series : Unlocking Patterns With Deep Learning
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition.
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Ai for Time Series : Unlocking Patterns With Deep Learning
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 243,52
Spedizione EUR 17,32
Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
