Da: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
EUR 10,31
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Aggiungi al carrelloCondizione: Fine. 407 pp., hardcover, previous owner's name neatly inked to the title page, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 36,68
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Aggiungi al carrelloCondizione: New. In English.
Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
EUR 44,05
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Aggiungi al carrelloCondizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 35,96
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EUR 55,90
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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.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 37,88
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EUR 56,66
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Aggiungi al carrelloCondizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Da: Chiron Media, Wallingford, Regno Unito
EUR 32,93
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Aggiungi al carrelloPaperback. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 39,68
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 49,38
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EUR 55,21
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Aggiungi al carrelloCondizione: New. pp. 420.
EUR 54,06
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EUR 55,79
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 49,37
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 50,03
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 52,55
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 53,87
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Editore: Springer International Publishing, Springer International Publishing Aug 2021, 2021
ISBN 10: 3030455769 ISBN 13: 9783030455767
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 60,98
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results.Substantially updating the previous edition, then entitled Guide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep learning) are included.Topics and features: guides the reader through the process of data science, following the interdependent steps of project understanding, data understanding, data blending and transformation, modeling, as well as deployment and monitoring; includes numerous examples using the open source KNIME Analytics Platform, together with an introductory appendix; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; integrates illustrations and case-study-style examples to support pedagogical exposition; supplies further tools and information at an associated website.This practical and systematic textbook/reference is a ¿need-to-have¿ tool for graduate and advanced undergraduate students and essential reading for all professionals who face data science problems. Moreover, it is a ¿need to use, need to keep¿ resource following one's exploration of thesubject.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 436 pp. Englisch.
Editore: Springer International Publishing, 2021
ISBN 10: 3030455769 ISBN 13: 9783030455767
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 60,98
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results.Substantially updating the previous edition, then entitledGuide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep learning) are included.Topics and features: guides the reader through the process of data science, following the interdependent steps of project understanding, data understanding, data blending and transformation, modeling, as well as deployment and monitoring; includes numerous examples using the open source KNIME Analytics Platform, together with an introductory appendix; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; integrates illustrations and case-study-style examples to support pedagogical exposition; supplies further tools and information at an associated website.This practical and systematic textbook/reference is a 'need-to-have' tool for graduate and advanced undergraduate students and essential reading for all professionals who face data science problems. Moreover, it is a 'need to use, need to keep' resource following one's exploration of thesubject.
Da: California Books, Miami, FL, U.S.A.
EUR 71,21
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 63,04
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Da: Books Puddle, New York, NY, U.S.A.
EUR 73,96
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Da: Majestic Books, Hounslow, Regno Unito
EUR 73,52
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 74,81
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 75,71
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Editore: Springer International Publishing, Springer International Publishing Aug 2020, 2020
ISBN 10: 3030455734 ISBN 13: 9783030455736
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 85,59
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware -Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results.Substantially updating the previous edition, then entitled Guide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep learning) are included.Topics and features: guides the reader through the process of data science, following the interdependent steps of project understanding, data understanding, data blending and transformation, modeling, as well as deployment and monitoring; includes numerous examples using the open source KNIME Analytics Platform, together with an introductory appendix; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; integrates illustrations and case-study-style examples to support pedagogical exposition; supplies further tools and information at an associated website.This practical and systematic textbook/reference is a ¿need-to-have¿ tool for graduate and advanced undergraduate students and essential reading for all professionals who face data science problems. Moreover, it is a ¿need to use, need to keep¿ resource following one's exploration of thesubject.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 436 pp. Englisch.
Editore: Springer International Publishing, Springer International Publishing, 2020
ISBN 10: 3030455734 ISBN 13: 9783030455736
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 85,59
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results.Substantially updating the previous edition, then entitledGuide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep learning) are included.Topics and features: guides the reader through the process of data science, following the interdependent steps of project understanding, data understanding, data blending and transformation, modeling, as well as deployment and monitoring; includes numerous examples using the open source KNIME Analytics Platform, together with an introductory appendix; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; integrates illustrations and case-study-style examples to support pedagogical exposition; supplies further tools and information at an associated website.This practical and systematic textbook/reference is a 'need-to-have' tool for graduate and advanced undergraduate students and essential reading for all professionals who face data science problems. Moreover, it is a 'need to use, need to keep' resource following one's exploration of thesubject.
Editore: Springer-Nature New York Inc, 2021
ISBN 10: 3030455769 ISBN 13: 9783030455767
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 95,92
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 433 pages. 9.25x6.10x0.89 inches. In Stock.
Da: California Books, Miami, FL, U.S.A.
EUR 106,36
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Da: online-buch-de, Dozwil, Svizzera
EUR 110,00
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Aggiungi al carrelloCondizione: Neu.