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Titlebook: Sustainable Statistical and Data Science Methods and Practices; Reports from LISA 20 O. Olawale Awe,Eric A. Vance Book 2023 The Editor(s) (

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書目名稱Sustainable Statistical and Data Science Methods and Practices
副標(biāo)題Reports from LISA 20
編輯O. Olawale Awe,Eric A. Vance
視頻videohttp://file.papertrans.cn/884/883527/883527.mp4
概述Gathers papers from research conducted at LISA 2020, a global network of statistical laboratories.Showcases the practical outcomes of using statistics and data science to address real-world problems.H
叢書名稱STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
圖書封面Titlebook: Sustainable Statistical and Data Science Methods and Practices; Reports from LISA 20 O. Olawale Awe,Eric A. Vance Book 2023 The Editor(s) (
描述.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 cond
出版日期Book 2023
關(guān)鍵詞Conference Proceedings; Research; Applications; Statistical analysis; Statistics lab; LISA 2020; Data scie
版次1
doihttps://doi.org/10.1007/978-3-031-41352-0
isbn_softcover978-3-031-41354-4
isbn_ebook978-3-031-41352-0Series ISSN 2520-193X Series E-ISSN 2520-1948
issn_series 2520-193X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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O. Olawale Awe,Eric A. VanceGathers papers from research conducted at LISA 2020, a global network of statistical laboratories.Showcases the practical outcomes of using statistics and data science to address real-world problems.H
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STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Healthhttp://image.papertrans.cn/t/image/883527.jpg
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Book 2023 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
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2520-193X statistics and data science to address real-world problems.H.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 utili
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Exploring Practical Applications and Python Code Snippets for Supervised Machine Learning Classificders gain practical knowledge of algorithm usage, emphasizing adaptability and fine-tuning to suit specific application requirements. This research contributes to the broader understanding of how classification algorithms can be harnessed effectively in Python programming for solving a wide range of contemporary challenges.
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