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Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data (Texts in Computer Science)
Da: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
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Aggiungi al carrelloCondizione: Fine. *Price HAS BEEN REDUCED by 10% until Monday, June 16 (weekend SALE item)* 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.
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data (Texts in Computer Science)
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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.
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Guide to Intelligent Data Science
Da: Basi6 International, Irving, TX, U.S.A.
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Guide to Intelligent Data Science
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Da: Chiron Media, Wallingford, Regno Unito
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 39,30
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Guide to Intelligent Data Science
Da: Books Puddle, New York, NY, U.S.A.
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Guide to Intelligent Data Science
Da: Majestic Books, Hounslow, Regno Unito
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Guide to Intelligent Data Science
Da: Biblios, Frankfurt am main, HESSE, Germania
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Da: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 51,97
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 53,34
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Editore: Springer International Publishing, 2021
ISBN 10: 3030455769 ISBN 13: 9783030455767
Lingua: Inglese
EUR 60,98
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 - 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.
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Guide to Intelligent Data Science
Editore: Springer International Publishing, Springer International Publishing Aug 2021, 2021
ISBN 10: 3030455769 ISBN 13: 9783030455767
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
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.
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 70,44
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Da: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 62,48
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
EUR 73,16
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 72,73
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Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data (Texts in Computer Science)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 74,13
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Da: Biblios, Frankfurt am main, HESSE, Germania
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EUR 75,71
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Editore: Springer International Publishing, Springer International Publishing, 2020
ISBN 10: 3030455734 ISBN 13: 9783030455736
Lingua: Inglese
EUR 85,59
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 - 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.
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Guide to Intelligent Data Science
Editore: Springer International Publishing, Springer International Publishing Aug 2020, 2020
ISBN 10: 3030455734 ISBN 13: 9783030455736
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 85,59
Convertire valutaEUR 15,00 per la spedizione da Germania a ItaliaQuantità: 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.
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data
Editore: Springer-Nature New York Inc, 2021
ISBN 10: 3030455769 ISBN 13: 9783030455767
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 94,57
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 433 pages. 9.25x6.10x0.89 inches. In Stock.
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 105,21
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EUR 110,00
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Aggiungi al carrelloCondizione: Neu.
