Michael Borgelt (44 results)
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Berthold, Michael R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank; Silipo, Rosaria
Language: English
Published by Springer, 2021
- Softcover
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Berthold, Michael R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank; Silipo, Rosaria
Language: English
Published by Springer, 2021
- Softcover
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Language: English
Published by Springer, 2021
- Softcover
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Berthold, Michael R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank; Silipo, Rosaria
Language: English
Published by Springer, 2021
- Softcover
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data
Berthold, Michael R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank; Silipo, Rosaria
Language: English
Published by Springer, 2021
- Softcover
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Berthold, Michael R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank; Silipo, Rosaria
Language: English
Published by Springer, 2020
- Hardcover
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Language: English
Published by Springer, 2021
- Softcover
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Guide to Intelligent Data Science
Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn, Rosaria Silipo
Language: English
Published by Springer Nature Switzerland AG, CH, 2021
- Softcover
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Paperback. Condition: New. Second Edition 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 intellig…ent 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.
Language: English
Published by Springer, 2021
- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Berthold, Michael R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank; Silipo, Rosaria
Language: English
Published by Springer, 2021
- Softcover
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Language: English
Published by Springer -, 2021
- Softcover
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Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data (Texts in Computer Science)
Borgelt, Christian,Berthold, Michael R.,Klawonn, Frank,HÃ ppner, Frank
Language: English
Published by Springer, 2010
- Hardcover
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Berthold, Michael R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank; Silipo, Rosaria
Language: English
Published by Springer, 2021
- Softcover
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Berthold, Michael R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank; Silipo, Rosaria
Language: English
Published by Springer, 2020
- Hardcover
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Berthold, Michael R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank; Silipo, Rosaria
Language: English
Published by Springer, 2020
- Hardcover
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Berthold, Michael R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank; Silipo, Rosaria
Language: English
Published by Springer, 2020
- Hardcover
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Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data (Texts in Computer Science)
Berthold, Michael R. R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank
Language: English
Published by Springer, 2012
- Softcover
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Berthold, Michael R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank; Silipo, Rosaria
Language: English
Published by Springer, 2020
- Hardcover
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Berthold, Michael R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank; Silipo, Rosaria
Language: English
Published by Springer, 2020
- Hardcover
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Berthold, Michael R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank; Silipo, Rosaria
Language: English
Published by Springer, 2020
- Hardcover
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Language: English
Published by Springer, 2012
- Softcover
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data
Berthold, Michael R./ Borgelt, Christian/ Höppner, Frank/ Klawonn, Frank/ Silipo, Rosaria
Language: English
Published by Springer-Nature New York Inc, 2021
- Softcover
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Paperback. Condition: Brand New. 2nd edition. 433 pages. 9.25x6.10x0.89 inches. In Stock.
Guide to Intelligent Data Science
Michael R. Berthold|Christian Borgelt|Frank Höppner|Frank Klawonn|Rosaria Silipo
Language: English
Published by Springer International Publishing, 2021
- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: New. 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.
Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Berthold, Michael R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank; Silipo, Rosaria
Language: English
Published by Springer, 2020
- Hardcover
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Guide to Intelligent Data Science
Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn, Rosaria Silipo
Language: English
Published by Springer Nature Switzerland AG, CH, 2020
- Hardcover
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Hardback. Condition: New. Second Edition 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 intellige…nt 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.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Language: English
Published by Springer London, 2012
- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: New. Presents a broad-range of perspectives on data analysis, providing readers with a comprehensive account of the fieldFocuses on the practical aspects as well as presenting the theory comprehensivelyA special emphasis is given to put on pointing out the pitfa.
Guide to Intelligent Data Science
Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn, Rosaria Silipo
Language: English
Published by Springer Nature Switzerland AG, CH, 2021
- Softcover
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Paperback. Condition: New. Second Edition 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 intellig…ent 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 (Texts in Computer Science)
Berthold, Michael R., Borgelt, Christian, Höppner, Frank, Kl
Language: English
Published by Springer, 2020
- Hardcover
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