A comprehensive step-by-step guide to deconstructing screenplay fundamentals, this book will allow readers to understand the elements, functions and anatomy of a screenplay and to understand the dramatic elements and their functions. Screenwriters will be able to apply these steps to their own writing.
Utilizing predictive machine learning, this book presents a novel framework for identifying potential causes of civil conflict, addressing a gap in traditional academic approaches. By enhancing predictive capabilities, it aims to improve human efforts in anticipating and preventing conflicts, offering a fresh perspective on a complex issue.
New Tools for Predicting Economic Growth
Focusing on the intersection of machine learning and economics, this book presents a framework for predicting economic growth through advanced data analytics. It serves as both a guide for economists looking to leverage machine learning techniques and an exploration of the technology's growing relevance in addressing economic inquiries. The author emphasizes the transformative potential of these advancements in computing, highlighting machine learning as an innovative tool for economic analysis.
Utilizing machine learning, this book explores the intricate causes of civil conflict by identifying key predictors and their complex interrelationships. It presents a comprehensive review of existing literature and advocates for machine learning as a tool for analyzing conflict dynamics. The authors detail their data set and methodology, examining institutional, economic, and sociological factors contributing to civil unrest. This work is aimed at scholars in economics, political science, sociology, and artificial intelligence, providing insights into conflict prevention strategies.