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A Machine Learning Based Model of Boko Haram free ebook download

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Programming

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Catalogue

Author(s):	V. S. Subrahmanian, Chiara Pulice, James F. Brown, Jacob Bonen-Clark

Date:	2021-02-07	Format:	pdf	Language:	English	ISBN/ASIN:	3030606139
Pages:	190	OCR:		Quality:		ISBN13:
Uploader:	maveriks	Upload Date:	12/13/2020 5:01:53 AM

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This is the first study of Boko Haram that brings advanced data-driven, machine learning models to both learn models capable of predicting a wide range of attacks carried out by Boko Haram, as well as develop data-driven policies to shape Boko Harams behavior and reduce attacks by them. This book also identifies conditions that predict sexual violence, suicide bombings and attempted bombings, abduction, arson, looting, and targeting of government officials and security installations. After reducing Boko Harams history to a spreadsheet containing monthly information about different types of attacks and different circumstances prevailing over a 9 year period, this book introduces Temporal Probabilistic (TP) rules that can be automatically learned from data and are easy to explain to policy makers and security experts. This book additionally reports on over 1 year of forecasts made using the model in order to validate predictive accuracy. It also introduces a policy computation method to rein in Boko Harams attacks. Applied machine learning researchers, machine learning experts and predictive modeling experts agree that this book is a valuable learning asset. Counter-terrorism experts, national and international security experts, public policy experts and Africa experts will also agree this book is a valuable learning tool.

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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
2917393	Book	https://nitroflare.com/view/3BB8624D1296...		4.18	maveriks

Tags: Based Boko Haram Learning Machine Model

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A Machine Learning Based Model of Boko Haram free ebook download

Category: Programming

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Category:
Programming