Machine Learning and Optimization Frameworks for Women's Nutritional Health

Language: English

Published by SHARK NAIL, 2026

1962116484 / 9781962116480

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning and Optimization Frameworks for Women's Nutritional Health explores the application of machine learning, data analytics, and optimization techniques to the analysis of nutritional health in women. The book introduces computational approaches for examining nutritional data, identifying relevant patterns, and supporting data-driven assessment of health and dietary factors. It discusses concepts in machine learning, predictive modeling, optimization, health analytics, and nutritional data analysis, with attention to the characteristics of women's nutritional health. The book considers how computational models can be used to analyze relationships among dietary, nutritional, and health-related variables and support systematic evaluation of complex datasets. Attention is also given to data preprocessing, feature selection, model development, prediction, optimization, and evaluation. By connecting machine learning with nutritional health analysis, the book provides a technical foundation for students, researchers, data scientists, nutrition professionals, public health researchers, and practitioners interested in healthcare analytics and computational health research. The material emphasizes analytical methods and responsible interpretation of computational results within nutritional health contexts.

Seller Inventory # 9781962116480

Title
Machine Learning and Optimization Frameworks for Women's Nutritional Health
Author
Somya
Publisher
SHARK NAIL
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1962116484
ISBN 13
9781962116480
Item weight
117 grams
Dimensions
229x152x4 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First itemUS$ 40.07US$ 51.52
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