Items related to Statistical Prediction and Machine Learning
- PublisherChapman and Hall/CRC
- Publication date2024
- ISBN 10 0367332272
- ISBN 13 9780367332273
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages314
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Statistical Prediction and Machine Learning
Seller: Basi6 International, Irving, TX, U.S.A.
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Statistical Prediction and Machine Learning
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Statistical Prediction and Machine Learning
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Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 585. Seller Inventory # B9780367332273
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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
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Statistical Prediction and Machine Learning
Print on DemandSeller: Revaluation Books, Exeter, United Kingdom
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Hardcover. Condition: Brand New. 320 pages. 9.19x6.13x9.21 inches. In Stock. This item is printed on demand. Seller Inventory # __0367332272
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Statistical Prediction and Machine Learning
Print on DemandSeller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: 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. Seller Inventory # 9780367332273
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