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In den WarenkorbZustand: New. In.
Verlag: Springer Nature Switzerland, Springer Nature Switzerland Jan 2024, 2024
ISBN 10: 3031413512 ISBN 13: 9783031413513
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Neuware -This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2¿6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike.The LISA 2020 Global Network aims to enhance statistical and data science capability in developing countries through the creation of a network of collaboration laboratories (also known as ¿stat labs¿). These stat labs are intended to serve as engines for development by training the next generation of collaborative statisticians and data scientists, providing research infrastructure for researchers, data producers, and decision-makers, and enabling evidence-based decision-making that has a positive impact on society. The research conducted at LISA 2020 focuses on practical methods and applications for sustainable growth of statistical capacity in developing nations.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 440 pp. Englisch.
Verlag: Springer Nature Switzerland, Springer International Publishing, 2025
ISBN 10: 3031413547 ISBN 13: 9783031413544
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2-6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike.The LISA 2020 Global Networkaims to enhance statistical and data science capability in developing countries through the creation of a network of collaboration laboratories (also known as'stat labs'). These stat labs are intended to serve as engines for development by training the next generation of collaborative statisticians and data scientists, providing research infrastructure for researchers, data producers, and decision-makers, and enabling evidence-based decision-making that has a positive impact on society. The research conducted at LISA 2020 focuses on practical methods and applications for sustainable growth of statistical capacity in developing nations.
Verlag: Springer Nature Switzerland, Springer Nature Switzerland Jan 2025, 2025
ISBN 10: 3031413547 ISBN 13: 9783031413544
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2-6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 440 pp. Englisch.
Verlag: Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031413512 ISBN 13: 9783031413513
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2-6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike.The LISA 2020 Global Networkaims to enhance statistical and data science capability in developing countries through the creation of a network of collaboration laboratories (also known as'stat labs'). These stat labs are intended to serve as engines for development by training the next generation of collaborative statisticians and data scientists, providing research infrastructure for researchers, data producers, and decision-makers, and enabling evidence-based decision-making that has a positive impact on society. The research conducted at LISA 2020 focuses on practical methods and applications for sustainable growth of statistical capacity in developing nations.
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Verlag: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031413512 ISBN 13: 9783031413513
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 26, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike.The LISA 2020 Global Network aims to enhance statistical and data science capability in developing countries through the creation of a network of collaboration laboratories (also known as stat labs). These stat labs are intended to serve as engines for development by training the next generation of collaborative statisticians and data scientists, providing research infrastructure for researchers, data producers, and decision-makers, and enabling evidence-based decision-making that has a positive impact on society. The research conducted at LISA 2020 focuses on practical methods and applications for sustainable growth of statistical capacity in developing nations. Some of the topics covered include the use of virtual team-based learning to teach data science in developing countries, the collection and digitization of weather and farm data, the use of data science techniques to evaluate agricultural project budgets, and the design and analysis of experiments in statistics laboratories. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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ISBN 10: 3031413512 ISBN 13: 9783031413513
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In den WarenkorbHardcover. Zustand: new. Hardcover. This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 26, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike.The LISA 2020 Global Network aims to enhance statistical and data science capability in developing countries through the creation of a network of collaboration laboratories (also known as stat labs). These stat labs are intended to serve as engines for development by training the next generation of collaborative statisticians and data scientists, providing research infrastructure for researchers, data producers, and decision-makers, and enabling evidence-based decision-making that has a positive impact on society. The research conducted at LISA 2020 focuses on practical methods and applications for sustainable growth of statistical capacity in developing nations. Some of the topics covered include the use of virtual team-based learning to teach data science in developing countries, the collection and digitization of weather and farm data, the use of data science techniques to evaluate agricultural project budgets, and the design and analysis of experiments in statistics laboratories. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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ISBN 10: 3031413512 ISBN 13: 9783031413513
Sprache: Englisch
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Gathers papers from research conducted at LISA 2020, a global network of statistical laboratoriesShowcases the practical outcomes of using statistics and data science to address real-world problemsHighlights innovative initiatives for teach.
Verlag: Springer Nature Switzerland, Springer International Publishing Jan 2025, 2025
ISBN 10: 3031413547 ISBN 13: 9783031413544
Sprache: Englisch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2-6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike.The LISA 2020 Global Networkaims to enhance statistical and data science capability in developing countries through the creation of a network of collaboration laboratories (also known as'stat labs'). These stat labs are intended to serve as engines for development by training the next generation of collaborative statisticians and data scientists, providing research infrastructure for researchers, data producers, and decision-makers, and enabling evidence-based decision-making that has a positive impact on society. The research conducted at LISA 2020 focuses on practical methods and applications for sustainable growth of statistical capacity in developing nations. 440 pp. Englisch.
Verlag: Springer Nature Switzerland, Springer International Publishing Jan 2024, 2024
ISBN 10: 3031413512 ISBN 13: 9783031413513
Sprache: Englisch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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In den WarenkorbBuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2-6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike.The LISA 2020 Global Networkaims to enhance statistical and data science capability in developing countries through the creation of a network of collaboration laboratories (also known as'stat labs'). These stat labs are intended to serve as engines for development by training the next generation of collaborative statisticians and data scientists, providing research infrastructure for researchers, data producers, and decision-makers, and enabling evidence-based decision-making that has a positive impact on society. The research conducted at LISA 2020 focuses on practical methods and applications for sustainable growth of statistical capacity in developing nations. 440 pp. Englisch.
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