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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: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 65.57
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Statistical Data Modeling and Machine Learning with Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 51.87
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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.
Seller rating 4 out of 5 stars
paperback. Condition: Very Good. Cover and edges may have some wear.
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Intelligent Data Modeling: Machine Learning Approaches and Techniques : Integrating Statistical Learning, Predictive Analytics, and Real-World Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 58.61
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Intelligent Data Modeling: Machine Learning Approaches and Techniques : Integrating Statistical Learning, Predictive Analytics, and Real-World Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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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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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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BAYESIAN STATISTICAL METHODS WITH APPLICATIONS TO MACHINE LEARNING 2ED (HB 2026)
Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032486325 ISBN 13: 9781032486321
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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
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Statistical Data Modeling and Machine Learning with Applications II
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Bayesian Statistical Methods : With Applications to Machine Learning
Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032486325 ISBN 13: 9781032486321
Condition: New.
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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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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Statistical and machine learning approaches play an increasingly important role in biomedical research. In the absence of fundamental (first principle-based) models, or because of the computational complexity of such models, statistical and machine learning approaches are being used to identify interesting structures in the data (e.g. patterns in gene expression profiles), correlate these patterns and other 'input' attributes with (e.g. medically) relevant outcomes, and to develop predictors that can generalize from known data and make predictions for new data instances. Examples of important applications include structural bioinformatics, in which one of the goals is to predict elements of protein structure from amino acid sequence, or microarray gene expression profiling, in which the goal is to discover interesting patterns in gene expression data and correlate them with clinically relevant phenotypes. This volume includes papers submitted to the BIT 2005 workshop on the Applications of Machine and Statistical Learning Methods in Bioinformatics that took place in September 2005 in Torun, Poland.
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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 (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.
