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Guide to Intelligent Data Science
Published by Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030455769 ISBN 13: 9783030455767
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
£ 40.56
Convert currencyFree shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New. 2nd ed. 2020. 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.
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
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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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Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data
Published by Springer-Verlag New York Inc, 2013
ISBN 10: 144712572X ISBN 13: 9781447125723
Language: English
£ 78.61
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Add to basketPaperback. Condition: Brand New. 2010 edition. 407 pages. 9.21x6.14x1.02 inches. In Stock.
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data
Published by Springer-Nature New York Inc, 2021
ISBN 10: 3030455769 ISBN 13: 9783030455767
Language: English
£ 79.04
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Add to basketPaperback. Condition: Brand New. 2nd edition. 433 pages. 9.25x6.10x0.89 inches. In Stock.
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Guide to Intelligent Data Science
Published by Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030455769 ISBN 13: 9783030455767
Language: English
£ 36.32
Convert currency£ 65 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New. 2nd ed. 2020. 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.
-
Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data
Published by Springer-Nature New York Inc, 2020
ISBN 10: 3030455734 ISBN 13: 9783030455736
Language: English
£ 108.91
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Add to basketHardcover. Condition: Brand New. 2nd edition. 420 pages. 9.25x6.00x1.00 inches. In Stock.
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£ 98.38
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Add to basketHardcover Jul 01, 2010. Condition: Neu.
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data
Published by Springer-Nature New York Inc, 2021
ISBN 10: 3030455769 ISBN 13: 9783030455767
Language: English
£ 55.39
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Add to basketPaperback. Condition: Brand New. 2nd edition. 433 pages. 9.25x6.10x0.89 inches. In Stock. This item is printed on demand.
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Guide to Intelligent Data Science
Published by Springer International Publishing, 2021
ISBN 10: 3030455769 ISBN 13: 9783030455767
Language: English
£ 47.60
Convert currency£ 42.54 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Supplies a broad-range of perspectives on data science, providing readers with a comprehensive account of the fieldPresents a focus on practical aspects, in addition to a detailed description of the theoryEmphasizes the common pitfalls that.
