Isbn: 9786207475810 - machine learning for microeconomic forecasting (5 resultados)

Taschenbuch. Condición: Neu. Machine Learning for Microeconomic Forecasting | Jyoti Kataria | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207475810 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine 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.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Machine 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 tool. …

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Machine 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.…