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OverviewMachine Learning for Microeconomic Forecasting is a comprehensive guide that bridges the gap between traditional economic forecasting methods and cutting-edge machine learning techniques. This book equips economists, policymakers, and analysts with the tools and knowledge necessary to leverage machine learning algorithms for accurate and insightful microeconomic forecasts. Through a blend of theoretical foundations and practical applications, readers will learn how machine learning can enhance the accuracy, robustness, and timeliness of microeconomic forecasts across various domains, including labor markets, consumer behavior, and financial markets. Case studies and real-world examples illustrate the potential of machine learning to uncover hidden patterns in complex economic data, improve forecast accuracy, and inform strategic decision-making. Full Product DetailsAuthor: Jyoti KatariaPublisher: LAP Lambert Academic Publishing Imprint: LAP Lambert Academic Publishing Dimensions: Width: 15.20cm , Height: 0.40cm , Length: 22.90cm Weight: 0.120kg ISBN: 9786207475810ISBN 10: 620747581 Pages: 72 Publication Date: 27 March 2024 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |