Anbieter: Goodwill, Brooklyn Park, MN, USA
Zustand: very_good. Item may have minor cosmetic defects such as marks, wears, cuts, bends, or crushes on the cover, spine, pages, or dust cover. Shrink wrap, dust covers, or boxed set case may be missing. Item may contain remainder marks on outside edges, which should be noted in listing comments. Item may be missing bundled media.
Anbieter: Books From California, Simi Valley, CA, USA
paperback. Zustand: Very Good. Cover and edges may have some wear.
Anbieter: medimops, Berlin, Deutschland
Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Encuadernación de tapa blanda. Zustand: Como Nuevo.
Paperback. Zustand: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
Zustand: very_good. Book has little sign of wear or use.
Anbieter: Hamelyn, Madrid, M, Spanien
Zustand: Bueno. : Este libro recopila los trabajos presentados en los talleres internacionales de ECML PKDD 2023, celebrados en Turín, Italia, del 18 al 22 de septiembre de 2023. Los documentos presentados han sido cuidadosamente revisados y seleccionados entre más de 500 propuestas. El libro se organiza en cinco partes que cubren los avances en el aprendizaje automático interpretable, la inteligencia artificial, el descubrimiento responsable del conocimiento en la educación, la ciencia de datos para el bien social, el aprendizaje híbrido humano-máquina y las aplicaciones de aprendizaje automático para la salud y la industria farmacéutica. Este libro es una valiosa fuente de información para investigadores y profesionales interesados en las últimas tendencias y avances en el campo del aprendizaje automático y la minería de datos. EAN: 9783031746260 Tipo: Libros Categoría: Tecnología Título: Machine Learning and Principles and Practice of Knowledge Discovery in Databases Autor: Rosa Meo| Fabrizio Silvestri Editorial: Springer Idioma: en Páginas: 564 Formato: tapa blanda.
Anbieter: PBShop.store US, Wood Dale, IL, USA
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 72,02
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Hamelyn, Madrid, M, Spanien
Zustand: Muy bueno. : Este libro recopila los trabajos presentados en los talleres internacionales de ECML PKDD 2023, celebrados en Turín, Italia, del 18 al 22 de septiembre de 2023. Los documentos presentados han sido cuidadosamente revisados y seleccionados entre más de 500 propuestas. El libro se organiza en cinco partes que cubren los avances en el aprendizaje automático interpretable, la inteligencia artificial, el descubrimiento responsable del conocimiento en la educación, la ciencia de datos para el bien social, el aprendizaje híbrido humano-máquina y las aplicaciones de aprendizaje automático para la salud y la industria farmacéutica. Este libro es una valiosa fuente de información para investigadores y profesionales interesados en las últimas tendencias y avances en el campo del aprendizaje automático y la minería de datos. EAN: 9783031746260 Tipo: Libros Categoría: Tecnología Título: Machine Learning and Principles and Practice of Knowledge Discovery in Databases Autor: Rosa Meo| Fabrizio Silvestri Editorial: Springer Idioma: en Páginas: 564 Formato: tapa blanda.
Zustand: As New. Unread book in perfect condition.
Anbieter: Hamelyn, Madrid, M, Spanien
Zustand: Como nuevo. : Este libro recopila los trabajos presentados en los talleres internacionales de ECML PKDD 2023, celebrados en Turín, Italia, del 18 al 22 de septiembre de 2023. Los documentos presentados han sido cuidadosamente revisados y seleccionados entre más de 500 propuestas. El libro se organiza en cinco partes que cubren los avances en el aprendizaje automático interpretable, la inteligencia artificial, el descubrimiento responsable del conocimiento en la educación, la ciencia de datos para el bien social, el aprendizaje híbrido humano-máquina y las aplicaciones de aprendizaje automático para la salud y la industria farmacéutica. Este libro es una valiosa fuente de información para investigadores y profesionales interesados en las últimas tendencias y avances en el campo del aprendizaje automático y la minería de datos. EAN: 9783031746260 Tipo: Libros Categoría: Tecnología Título: Machine Learning and Principles and Practice of Knowledge Discovery in Databases Autor: Rosa Meo| Fabrizio Silvestri Editorial: Springer Idioma: en Páginas: 564 Formato: tapa blanda.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 72,01
Anzahl: 1 verfügbar
In den WarenkorbZustand: New.
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
EUR 74,09
Anzahl: 1 verfügbar
In den Warenkorbpaperback. Zustand: New.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 82,14
Anzahl: 1 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 81,63
Anzahl: 1 verfügbar
In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Springer International Publishing AG, CH, 2023
ISBN 10: 3031236327 ISBN 13: 9783031236327
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 104,48
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: New. 1st ed. 2023.
Sprache: Englisch
Verlag: Springer International Publishing AG, Cham, 2025
ISBN 10: 3031746295 ISBN 13: 9783031746291
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Paperback. Zustand: new. Paperback. The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, during September 18-22, 2023.The 200 full papers presented in these proceedings were carefully reviewed and selected from 515 submissions. The papers have been organized in the following tracks:Part I: Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial; BIAS 2023 - 3rd Workshop on Bias and Fairness in AI; Biased Data in Conversational Agents; Explainable Artificial Intelligence: From Static to Dynamic; ML, Law and Society; Part II: RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education; SoGood 2023 8th Workshop on Data Science for Social Good; Towards Hybrid Human-Machine Learning and Decision Making (HLDM); Uncertainty meets explainability in machine learning; Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation; Part III: XAI-TS: Explainable AI for Time Series: Advances and Applications; XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining; Deep Learning for Sustainable Precision Agriculture; Knowledge Guided Machine Learning; MACLEAN: MAChine Learning for EArth ObservatioN; MLG: Mining and Learning with Graphs; Neuro Explicit AI and Expert Informed ML for Engineering and Physical Sciences; New Frontiers in Mining Complex Patterns; Part IV: PharML, Machine Learning for Pharma and Healthcare Applications; Simplification, Compression, Efficiency and Frugality for Artificial intelligence; Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making; 6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL); Adapting to Change: Reliable Multimodal Learning Across Domains; AI4M: AI for Manufacturing; Part V: Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications; Deep learning meets Neuromorphic Hardware; Discovery challenge; ITEM: IoT, Edge, and Mobile for Embedded Machine Learning; LIMBO - LearnIng and Mining for BlOckchains; Machine Learning for Cybersecurity (MLCS 2023); MIDAS - The 8th Workshop on MIning DAta for financial applicationS; Workshop on Advancements in Federated Learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Anbieter: liu xing, Nanjing, JS, China
paperback. Zustand: New. Language:Chinese.Paperback.Pub Date:2022-05-01 Pages:224 Publisher:Machinery Industry Press This book is aimed at beginners. It comprehensively introduces the basic methods of machine learning. and expounds the mathematical principles step by step. so that readers can know the basic methods of machine learning. Yes. and then know why. Combined with application scenarios. the book lists a large number of programming examples to help readers carry out hands-on practice. theory and practice comp.
Sprache: Englisch
Verlag: Springer, Berlin|Springer Nature Switzerland|Author Funded|Springer, 2023
ISBN 10: 3031236327 ISBN 13: 9783031236327
Anbieter: moluna, Greven, Deutschland
Zustand: New. This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, .
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2023
ISBN 10: 3031236327 ISBN 13: 9783031236327
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 128,64
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 506 pages. 9.25x6.10x1.02 inches. In Stock.
Sprache: Englisch
Verlag: Springer Nature Switzerland, Springer International Publishing Jan 2023, 2023
ISBN 10: 3031236327 ISBN 13: 9783031236327
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19¿23, 2022.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 508 pp. Englisch.
Taschenbuch. Zustand: Neu. Machine Learning and Principles and Practice of Knowledge Discovery in Databases | International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II | Irena Koprinska (u. a.) | Taschenbuch | xix | Englisch | 2023 | Springer | EAN 9783031236327 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19-23, 2022.The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following five workshops:Workshop on Data Science for Social Good (SoGood 2022)Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022)Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022)Workshop on Uplift Modeling (UMOD 2022)Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022)Workshop on Mining Data for Financial Application (MIDAS 2022)Workshop on Machine Learning for Cybersecurity (MLCS 2022)Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022)Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022)Workshop on Data Analysis in Life Science (DALS 2022)Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022).