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- EditorialChapman and Hall/CRC
- Año de publicación2024
- ISBN 10 0367332272
- ISBN 13 9780367332273
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de edición1
- Número de páginas314
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Statistical Prediction and Machine Learning
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Statistical Prediction and Machine Learning
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Chapman and Hall/CRC, 2024
ISBN 10: 0367332272
ISBN 13: 9780367332273
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Statistical Prediction and Machine Learning
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Statistical Prediction and Machine Learning
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Statistical Prediction and Machine Learning
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Statistical Prediction and Machine Learning
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Statistical Prediction and Machine Learning
Publicado por
Chapman and Hall/CRC, 2024
ISBN 10: 0367332272
ISBN 13: 9780367332273
Antiguo o usado
Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Statistical Prediction and Machine Learning
Impresión bajo demandaLibrería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Written by an experienced statistics educator and two data scientists, this book unifies conventional statistical thinking and contemporary machine learning framework into a single overarching umbrella over data science. The book is designed to bridge the knowledge gap between conventional statistics and machine learning. It provides an accessible approach for readers with a basic statistics background to develop a mastery of machine learning. The book starts with elucidating examples in Chapter 1 and fundamentals on refined optimization in Chapter 2, which are followed by common supervised learning methods such as regressions, classification, support vector machines, tree algorithms, and range regressions. After a discussion on unsupervised learning methods, it includes a chapter on unsupervised learning and a chapter on statistical learning with data sequentially or simultaneously from multiple resources.One of the distinct features of this book is the comprehensive coverage of the topics in statistical learning and medical applications. It summarizes the authors' teaching, research, and consulting experience in which they use data analytics. The illustrating examples and accompanying materials heavily emphasize understanding on data analysis, producing accurate interpretations, and discovering hidden assumptions associated with various methods.Key Features:Unifies conventional model-based framework and contemporary data-driven methods into a single overarching umbrella over data science.Includes real-life medical applications in hypertension, stroke, diabetes, thrombolysis, aspirin efficacy.Integrates statistical theory with machine learning algorithms.Includes potential methodological developments in data science. 298 pp. Englisch. Nº de ref. del artículo: 9780367332273
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Statistical Prediction and Machine Learning (Hardcover)
Librería: Grand Eagle Retail, Fairfield, OH, Estados Unidos de America
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Hardcover. Condición: new. Hardcover. Written by an experienced statistics educator and two data scientists, this book unifies conventional statistical thinking and contemporary machine learning framework into a single overarching umbrella over data science. The book is designed to bridge the knowledge gap between conventional statistics and machine learning. It provides an accessible approach for readers with a basic statistics background to develop a mastery of machine learning. The book starts with elucidating examples in Chapter 1 and fundamentals on refined optimization in Chapter 2, which are followed by common supervised learning methods such as regressions, classification, support vector machines, tree algorithms, and range regressions. After a discussion on unsupervised learning methods, it includes a chapter on unsupervised learning and a chapter on statistical learning with data sequentially or simultaneously from multiple resources.One of the distinct features of this book is the comprehensive coverage of the topics in statistical learning and medical applications. It summarizes the authors teaching, research, and consulting experience in which they use data analytics. The illustrating examples and accompanying materials heavily emphasize understanding on data analysis, producing accurate interpretations, and discovering hidden assumptions associated with various methods.Key Features:Unifies conventional model-based framework and contemporary data-driven methods into a single overarching umbrella over data science.Includes real-life medical applications in hypertension, stroke, diabetes, thrombolysis, aspirin efficacy.Integrates statistical theory with machine learning algorithms.Includes potential methodological developments in data science. This book unifies conventional statistical thinking and contemporary machine learning framework into a single overarching umbrella over data science. The book is designed to bridge the knowledge gap between conventional statistics and machine learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780367332273
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Statistical Prediction and Machine Learning
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HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L1-9780367332273
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