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Guide Intelligent Data Science by Berthold Michael (56 results)
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Condition: As New. Unread book in perfect condition.
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Guide to Intelligent Data Science
Book 53 of 82: Texts in Computer SciencePublished by Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030455769 ISBN 13: 9783030455767
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Paperback. Condition: New. 2nd ed. 2020.
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Book 53 of 82: Texts in Computer ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Book 53 of 82: Texts in Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: As New. Unread book in perfect condition.
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Book 53 of 82: Texts in Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: New. pp. 420.
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Guide to Intelligent Data Science
Book 53 of 82: Texts in Computer ScienceSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data (Texts in Computer Science)
Book 53 of 82: Texts in Computer ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: New. pp. 420.
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Guide to Intelligent Data Science
Book 53 of 82: Texts in Computer SciencePublished by Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030455734 ISBN 13: 9783030455736
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. 2nd ed. 2020.
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Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Book 53 of 82: Texts in Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data (Texts in Computer Science)
Book 17 of 82: Texts in Computer ScienceSeller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
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Condition: 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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Condition: New. pp. 420.
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Guide to Intelligent Data Science (Paperback)
Book 53 of 82: Texts in Computer SciencePublished by Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030455769 ISBN 13: 9783030455767
Language: English
Paperback. Condition: new. Paperback. 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. 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; Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
