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Multivariate Statistical Machine Learning by Montesinos López (26 results)
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Multivariate Statistical Machine Learning Methods for Genomic Prediction
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Multivariate Statistical Machine Learning Methods for Genomic Prediction
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Multivariate Statistical Machine Learning Methods for Genomic Prediction
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Multivariate Statistical Machine Learning Methods for Genomic Prediction
Published by Springer International Publishing, 2022
ISBN 10: 3030890120 ISBN 13: 9783030890124
Language: English
£ 38.11
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is open access under a CC BY 4.0 licenseThis open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.
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Multivariate Statistical Machine Learning Methods for Genomic Prediction
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Multivariate Statistical Machine Learning Methods for Genomic Prediction
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Multivariate Statistical Machine Learning Methods for Genomic Prediction
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Multivariate Statistical Machine Learning Methods for Genomic Prediction
Published by Springer International Publishing, 2022
ISBN 10: 3030890090 ISBN 13: 9783030890094
Language: English
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is open access under a CC BY 4.0 licenseThis open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.
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Multivariate Statistical Machine Learning Methods for Genomic Prediction
Published by Springer International Publishing, Springer International Publishing Jan 2022, 2022
ISBN 10: 3030890120 ISBN 13: 9783030890124
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book is open access under a CC BY 4.0 licenseSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 716 pp. Englisch.
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Multivariate Statistical Machine Learning Methods for Genomic Prediction
Published by Springer International Publishing Jan 2022, 2022
ISBN 10: 3030890090 ISBN 13: 9783030890094
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketBuch. Condition: Neu. Neuware -This book is open access under a CC BY 4.0 licenseSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 716 pp. Englisch.
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Multivariate Statistical Machine Learning Methods for Genomic Prediction
Published by Springer International Publishing Jan 2022, 2022
ISBN 10: 3030890120 ISBN 13: 9783030890124
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is open access under a CC BY 4.0 licenseThis open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool. 716 pp. Englisch.
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Multivariate Statistical Machine Learning Methods for Genomic Prediction
Published by Springer International Publishing, 2022
ISBN 10: 3030890120 ISBN 13: 9783030890124
Language: English
£ 35.27
Convert currency£ 21.61 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is an Open Access book published under the CC-BY 4.0 licenseHighlights statistical and machine learning models for complex genetic and environmental interactionsOffers a practical approach using real and simulated datasets to illustrat.
-
Multivariate Statistical Machine Learning Methods for Genomic Prediction
Published by Springer International Publishing Jan 2022, 2022
ISBN 10: 3030890090 ISBN 13: 9783030890094
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 47.64
Convert currency£ 9.51 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is open access under a CC BY 4.0 licenseThis open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool. 716 pp. Englisch.
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Multivariate Statistical Machine Learning Methods for Genomic Prediction
Published by Springer International Publishing, 2022
ISBN 10: 3030890090 ISBN 13: 9783030890094
Language: English
£ 43.08
Convert currency£ 21.61 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is an Open Access book published under the CC-BY 4.0 licenseHighlights statistical and machine learning models for complex genetic and environmental interactionsOffers a practical approach using real and simulated datasets to illustrat.
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