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Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	Januar 2025
Genre:	EDV / Informatik
	Applications / ConferenceProceedings / Data Mining / DataScience / DataScienceEducation / Interdisciplinarystatisticalanalysis / LISA2020 / Maschinelles Lernen / Research / SDG / Statisticalanalysis / StatisticsEducation / Statisticslab / Wahrscheinlichkeitsrechnung und Statistik mehr...
ISBN:	9783031413544
EAN-Code:	9783031413544
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 24 mm
Gewicht:	663 gr
Seiten:	440
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.