Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 62,38
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 63,28
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 71,53
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EUR 65,37
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Da: California Books, Miami, FL, U.S.A.
EUR 69,53
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EUR 62,68
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EUR 72,55
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Da: Best Price, Torrance, CA, U.S.A.
EUR 57,11
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Da: Chiron Media, Wallingford, Regno Unito
EUR 59,97
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EUR 66,67
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Da: Revaluation Books, Exeter, Regno Unito
EUR 73,46
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Aggiungi al carrelloPaperback. Condizione: Brand New. 224 pages. 9.18x6.12x9.21 inches. In Stock.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 75,36
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Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 87,28
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 71,52
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Da: AussieBookSeller, Truganina, VIC, Australia
EUR 60,00
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Classification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and machine learning professionals solve these problems through the use of classifiers. Choosing one of these data driven classification algorithms for a given problem is a challenging task. An important aspect involved in this task is classifier performance analysis (CPA).Introduction to Classifier Performance Analysis with R provides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the R software system to accomplish the analysis. Coverage draws on the extensive literature available on the subject, including descriptive and inferential approaches to CPA. Exercises are included at the end of each chapter to reinforce learning.Key Features:An introduction to binary and multiclass classification problems is provided, including some classifiers based on statistical, machine and ensemble learningCommonly used techniques for binary and multiclass CPA are covered, some from less well-known but useful points of view. Coverage also includes important topics that have not received much attention in textbook accounts of CPALimitations of some commonly used performance measures are highlightedCoverage includes performance parameters and inferential techniques for themAlso covered are techniques for comparative analysis of competing classifiersA key contribution involves the use of key R meta-packages like tidyverse and tidymodels for CPA, particularly the very useful yardstick packageThis is a useful resource for upper level undergraduate and masters level students in data science, machine learning and related disciplines. Practitioners interested in learning how to use R to evaluate classifier performance can also potentially benefit from the book. The material and references in the book can also serve the needs of researchers in CPA. This book provides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the R software system to accomplish the analysis. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 76,70
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Da: Revaluation Books, Exeter, Regno Unito
EUR 90,03
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Aggiungi al carrelloPaperback. Condizione: Brand New. 224 pages. 9.18x6.12x9.21 inches. In Stock.
Da: CitiRetail, Stevenage, Regno Unito
EUR 78,00
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Classification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and machine learning professionals solve these problems through the use of classifiers. Choosing one of these data driven classification algorithms for a given problem is a challenging task. An important aspect involved in this task is classifier performance analysis (CPA).Introduction to Classifier Performance Analysis with R provides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the R software system to accomplish the analysis. Coverage draws on the extensive literature available on the subject, including descriptive and inferential approaches to CPA. Exercises are included at the end of each chapter to reinforce learning.Key Features:An introduction to binary and multiclass classification problems is provided, including some classifiers based on statistical, machine and ensemble learningCommonly used techniques for binary and multiclass CPA are covered, some from less well-known but useful points of view. Coverage also includes important topics that have not received much attention in textbook accounts of CPALimitations of some commonly used performance measures are highlightedCoverage includes performance parameters and inferential techniques for themAlso covered are techniques for comparative analysis of competing classifiersA key contribution involves the use of key R meta-packages like tidyverse and tidymodels for CPA, particularly the very useful yardstick packageThis is a useful resource for upper level undergraduate and masters level students in data science, machine learning and related disciplines. Practitioners interested in learning how to use R to evaluate classifier performance can also potentially benefit from the book. The material and references in the book can also serve the needs of researchers in CPA. This book provides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the R software system to accomplish the analysis. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Books From California, Simi Valley, CA, U.S.A.
EUR 126,36
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Aggiungi al carrellohardcover. Condizione: Very Good.
Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 75,57
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Classification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and machine learning professionals solve these problems through the use of classifiers. Choosing one of these data driven classification algorithms for a given problem is a challenging task. An important aspect involved in this task is classifier performance analysis (CPA).Introduction to Classifier Performance Analysis with R provides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the R software system to accomplish the analysis. Coverage draws on the extensive literature available on the subject, including descriptive and inferential approaches to CPA. Exercises are included at the end of each chapter to reinforce learning.Key Features:An introduction to binary and multiclass classification problems is provided, including some classifiers based on statistical, machine and ensemble learningCommonly used techniques for binary and multiclass CPA are covered, some from less well-known but useful points of view. Coverage also includes important topics that have not received much attention in textbook accounts of CPALimitations of some commonly used performance measures are highlightedCoverage includes performance parameters and inferential techniques for themAlso covered are techniques for comparative analysis of competing classifiersA key contribution involves the use of key R meta-packages like tidyverse and tidymodels for CPA, particularly the very useful yardstick packageThis is a useful resource for upper level undergraduate and masters level students in data science, machine learning and related disciplines. Practitioners interested in learning how to use R to evaluate classifier performance can also potentially benefit from the book. The material and references in the book can also serve the needs of researchers in CPA. This book provides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the R software system to accomplish the analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 145,47
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Da: Best Price, Torrance, CA, U.S.A.
EUR 139,89
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EUR 161,74
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 168,46
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 571.
EUR 171,81
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 168,45
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EUR 172,16
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 179,01
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 182,78
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 178,74
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