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Book Description Hardcover. Condition: new. Seller Inventory # 9783030819927
Book Description Condition: New. Seller Inventory # ABLIING23Mar3113020030838
Book Description Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Seller Inventory # ria9783030819927_lsuk
Book Description Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book uses machine-learning to identify the causes of conflict from among the top predictors of conflict. This methodology elevates some complex causal pathways that cause civil conflict over others, thus teasing out the complex interrelationships between the most important variables that cause civil conflict. Success in this realm will lead to scientific theories of conflict that will be useful in preventing and ending civil conflict. After setting out a current review of the literature and a case for using machine learning to analyze and predict civil conflict, the authors lay out the data set, important variables, and investigative strategy of their methodology. The authors then investigate institutional causes, economic causes, and sociological causes for civil conflict, and how that feeds into their model. The methodology provides an identifiable pathway for specifying causal models. This book will be of interest to scholars in the areas of economics, political science, sociology, and artificial intelligence who want to learn more about leveraging machine learning technologies to solve problems and who are invested in preventing civil conflict. 148 pp. Englisch. Seller Inventory # 9783030819927
Book Description Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book uses machine-learning to identify the causes of conflict from among the top predictors of conflict. This methodology elevates some complex causal pathways that cause civil conflict over others, thus teasing out the complex interrelationships between the most important variables that cause civil conflict. Success in this realm will lead to scientific theories of conflict that will be useful in preventing and ending civil conflict. After setting out a current review of the literature and a case for using machine learning to analyze and predict civil conflict, the authors lay out the data set, important variables, and investigative strategy of their methodology. The authors then investigate institutional causes, economic causes, and sociological causes for civil conflict, and how that feeds into their model. The methodology provides an identifiable pathway for specifying causal models. This book will be of interest to scholars in the areas of economics, political science, sociology, and artificial intelligence who want to learn more about leveraging machine learning technologies to solve problems and who are invested in preventing civil conflict. Seller Inventory # 9783030819927
Book Description Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP. Seller Inventory # 26386885211
Book Description Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book uses machine-learning to identify the causes of conflict from among the top predictors of conflict. This methodology elevates some complex causal pathways that cause civil conflict over others, thus teasing out the complex interrelationships betwe. Seller Inventory # 485152053
Book Description Condition: New. Print on Demand. Seller Inventory # 393795972