Harnessing data science sustainable (30 resultados)

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Harnessing Data Science for Sustainable Agriculture and Natural Resource Management | Mehul S. Raval (u. a.) | Taschenbuch | Studies in Big Data | xxi | Englisch | 2025 | Springer | EAN 9789819777648 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a comprehensive resource that handles the issues of sustainable agriculture and natural resource management, aligned with the United Nations' Sustainable Development Goals (SDGs). The book is organized into five sections, Understanding the Problem, Data Collection and Cleaning, Exploratory Data Analysis and Visualization, Model Building, and Model Deployment. Each section covers a critical aspect of data science in this context and addresses specific SDGs 2-zero hunger, 6-clean water and sanitation, 12-responsible consumption and production, 13-climate action, and 15-Life on land. The organized sections are arranged to seamlessly follow the data science pipeline and provide practical guidance from problem understanding to its model deployment and stakeholder management. The book is useful for researchers, students, practitioners, and policymakers.…

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a comprehensive resource that handles the issues of sustainable agriculture and natural resource management, aligned with the United Nations' Sustainable Development Goals (SDGs). The book is organized into five sections, Understanding the Problem, Data Collection and Cleaning, Exploratory Data Analysis and Visualization, Model Building, and Model Deployment. Each section covers a critical aspect of data science in this context and addresses specific SDGs 2-zero hunger, 6-clean water and sanitation, 12-responsible consumption and production, 13-climate action, and 15-Life on land. The organized sections are arranged to seamlessly follow the data science pipeline and provide practical guidance from problem understanding to its model deployment and stakeholder management. The book is useful for researchers, students, practitioners, and policymakers.…

Hardback. Condición: New.

Condición: New. 2024th edition NO-PA16APR2015-KAP.

Hardback. Condición: New.

Condición: new. Questo è un articolo print on demand.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is a comprehensive resource that handles the issues of sustainable agriculture and natural resource management, aligned with the United Nations' Sustainable Development Goals (SDGs). The book is organized into five sections, Understanding the Problem, Data Collection and Cleaning, Exploratory Data Analysis and Visualization, Model Building, and Model Deployment. Each section covers a critical aspect of data science in this context and addresses specific SDGs 2-zero hunger, 6-clean water and sanitation, 12-responsible consumption and production, 13-climate action, and 15-Life on land. The organized sections are arranged to seamlessly follow the data science pipeline and provide practical guidance from problem understanding to its model deployment and stakeholder management. The book is useful for researchers, students, practitioners, and policymakers. 380 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware Englisch.

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. In this era of climate volatility and economic uncertainty, the insurance industry is turning towards data science for driving sustainability. By using advanced analytics and machine learning, insurers can assess risks and optimize pricing for the better. Harnessing data science for sustainable insurance enables the sector to not only enhance operational efficiency and profitability, but also support environmental, social, and governance (ESG) goals. Harnessing Data Science for Sustainable Insurance explores the sustainable use of data in the insurance industry. This book navigates the evolving landscape of data-driven strategies, unveiling the potential to enhance the insurance industry and engage consumers in unprecedented ways. Covering topics such as data analytics, applications, and sustainability, this book is an excellent resource for practitioners, researchers, academicians, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is a comprehensive resource that handles the issues of sustainable agriculture and natural resource management, aligned with the United Nations' Sustainable Development Goals (SDGs). The book is organized into five sections, Understanding the Problem, Data Collection and Cleaning, Exploratory Data Analysis and Visualization, Model Building, and Model Deployment. Each section covers a critical aspect of data science in this context and addresses specific SDGs 2-zero hunger, 6-clean water and sanitation, 12-responsible consumption and production, 13-climate action, and 15-Life on land. The organized sections are arranged to seamlessly follow the data science pipeline and provide practical guidance from problem understanding to its model deployment and stakeholder management. The book is useful for researchers, students, practitioners, and policymakers.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 380 pp. Englisch.…

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is a comprehensive resource that handles the issues of sustainable agriculture and natural resource management, aligned with the United Nations' Sustainable Development Goals (SDGs). The book is organized into five sections, Understanding the Problem, Data Collection and Cleaning, Exploratory Data Analysis and Visualization, Model Building, and Model Deployment. Each section covers a critical aspect of data science in this context and addresses specific SDGs 2-zero hunger, 6-clean water and sanitation, 12-responsible consumption and production, 13-climate action, and 15-Life on land. The organized sections are arranged to seamlessly follow the data science pipeline and provide practical guidance from problem understanding to its model deployment and stakeholder management. The book is useful for researchers, students, practitioners, and policymakers.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 380 pp. Englisch.…

Hardcover. Condición: new. Hardcover. In this era of climate volatility and economic uncertainty, the insurance industry is turning towards data science for driving sustainability. By using advanced analytics and machine learning, insurers can assess risks and optimize pricing for the better. Harnessing data science for sustainable insurance enables the sector to not only enhance operational efficiency and profitability, but also support environmental, social, and governance (ESG) goals. Harnessing Data Science for Sustainable Insurance explores the sustainable use of data in the insurance industry. This book navigates the evolving landscape of data-driven strategies, unveiling the potential to enhance the insurance industry and engage consumers in unprecedented ways. Covering topics such as data analytics, applications, and sustainability, this book is an excellent resource for practitioners, researchers, academicians, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Taschenbuch. Condición: Neu. Harnessing Data Science for Sustainable Insurance | Gagan Kukreja (u. a.) | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798337318837 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this era of climate volatility and economic uncertainty, the insurance industry is turning towards data science for driving sustainability. By using advanced analytics and machine learning, insurers can assess risks and optimize pricing for the better. Harnessing data science for sustainable insurance enables the sector to not only enhance operational efficiency and profitability, but also support environmental, social, and governance (ESG) goals. Harnessing Data Science for Sustainable Insurance explores the sustainable use of data in the insurance industry. This book navigates the evolving landscape of data-driven strategies, unveiling the potential to enhance the insurance industry and engage consumers in unprecedented ways. Covering topics such as data analytics, applications, and sustainability, this book is an excellent resource for practitioners, researchers, academicians, and more.…

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this era of climate volatility and economic uncertainty, the insurance industry is turning towards data science for driving sustainability. By using advanced analytics and machine learning, insurers can assess risks and optimize pricing for the better. Harnessing data science for sustainable insurance enables the sector to not only enhance operational efficiency and profitability, but also support environmental, social, and governance (ESG) goals. Harnessing Data Science for Sustainable Insurance explores the sustainable use of data in the insurance industry. This book navigates the evolving landscape of data-driven strategies, unveiling the potential to enhance the insurance industry and engage consumers in unprecedented ways. Covering topics such as data analytics, applications, and sustainability, this book is an excellent resource for practitioners, researchers, academicians, and more.…