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Hardback or Cased Book. Condition: New. Statistical Data Modeling and Machine Learning with Applications. Book.
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Statistical Data Modeling and Machine Learning with Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Statistical Machine Learning for Engineering with Applications (Lecture Notes in Statistics)
Book 72 of 72: Lecture Notes in StatisticsSeller: Books From California, Simi Valley, CA, U.S.A.
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paperback. Condition: Very Good. Cover and edges may have some wear.
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Statistical Data Modeling and Machine Learning with Applications
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: As New. Unread book in perfect condition.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Statistical Data Modeling and Machine Learning with Applications II
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Statistical Data Modeling and Machine Learning with Applications II
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Statistical Data Modeling and Machine Learning with Applications II
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Taschenbuch. Condition: Neu. Applications of Statistical and Machine Learning Methods in Bioinformatics | Jaroslaw Meller (u. a.) | Taschenbuch | Englisch | Peter Lang | EAN 9783631562215 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Bayesian Statistical Methods: With Applications to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032486325 ISBN 13: 9781032486321
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Statistical Machine Learning for Engineering with Applications
Book 72 of 72: Lecture Notes in StatisticsLanguage: English
Published by Springer, Berlin|Springer Nature Switzerland|Springer, 2024
ISBN 10: 3031662520 ISBN 13: 9783031662522
Condition: New. This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian learning, neural networks and deep learning, the design of experiments, and related methods. For ease of re.
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Statistical Machine Learning for Engineering with Applications (Paperback)
Book 72 of 72: Lecture Notes in StatisticsLanguage: English
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031662520 ISBN 13: 9783031662522
Paperback. Condition: new. Paperback. This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian learning, neural networks and deep learning, the design of experiments, and related methods. For ease of reading, technical details are avoided as far as possible, and there is a particular emphasis on applicability, interpretation, reliability and limitations of the data-analytic methods in practice. To cover the common availability and types of data in engineering, training sets consisting of independent as well as time series data are considered. To cope with the scarceness of data in industrial problems, augmentation of training sets by additional artificial data, generated from physical models, as well as the combination of machine learning and expert knowledge of engineers are discussed.The methodological exposition is accompanied by several detailed case studies based on industrial projects covering a broad range of engineering applications from vehicle manufacturing, process engineering and design of materials to optimization of production processes based on image analysis.The focus is on fundamental ideas, applicability and the pitfalls of machine learning in industry and science, where data are often scarce. Requiring only very basic background in statistics, the book is ideal for self-study or short courses for engineering and science students. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Bayesian Statistical Methods: With Applications to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032486325 ISBN 13: 9781032486321
Condition: New.
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Statistical Machine Learning for Engineering with Applications
Book 72 of 72: Lecture Notes in StatisticsLanguage: English
Published by Springer Nature Switzerland, Springer Nature Switzerland Okt 2024, 2024
ISBN 10: 3031662520 ISBN 13: 9783031662522
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian learning, neural networks and deep learning, the design of experiments, and related methods. For ease of reading, technical details are avoided as far as possible, and there is a particular emphasis on applicability, interpretation, reliability and limitations of the data-analytic methods in practice. To cover the common availability and types of data in engineering, training sets consisting of independent as well as time series data are considered. To cope with the scarceness of data in industrial problems, augmentation of training sets by additional artificial data, generated from physical models, as well as the combination of machine learning and expert knowledge of engineers are discussed.The methodological exposition is accompanied by several detailed case studies based on industrial projects covering a broad range of engineering applications from vehicle manufacturing, process engineering and design of materials to optimization of production processes based on image analysis.The focus is on fundamental ideas, applicability and the pitfalls of machine learning in industry and science, where data are often scarce. Requiring only very basic background in statistics, the book is ideal for self-study or short courses for engineering and science students.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch.
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Statistical Machine Learning for Engineering with Applications
Book 72 of 72: Lecture Notes in StatisticsLanguage: English
Published by Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031662520 ISBN 13: 9783031662522
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian learning, neural networks and deep learning, the design of experiments, and related methods. For ease of reading, technical details are avoided as far as possible, and there is a particular emphasis on applicability, interpretation, reliability and limitations of the data-analytic methods in practice. To cover the common availability and types of data in engineering, training sets consisting of independent as well as time series data are considered. To cope with the scarceness of data in industrial problems, augmentation of training sets by additional artificial data, generated from physical models, as well as the combination of machine learning and expert knowledge of engineers are discussed.The methodological exposition is accompanied by several detailed case studies based on industrial projects covering a broad range of engineering applications from vehicle manufacturing, process engineering and design of materials to optimization of production processes based on image analysis.The focus is on fundamental ideas, applicability and the pitfalls of machine learning in industry and science, where data are often scarce. Requiring only very basic background in statistics, the book is ideal for self-study or short courses for engineering and science students.
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Bayesian Statistical Methods: With Applications to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032486325 ISBN 13: 9781032486321
Condition: New.
