484 Pages
136 B/W Illustrations
by
Routledge
484 Pages
136 B/W Illustrations
by
Routledge
Also available as eBook on:
In today’s data-driven world, the ability to make sense of complex, high-dimensional datasets is crucial for economists and data scientists. Traditional quantitative methods, while powerful, often struggle to keep up with the complexities of modern economic challenges. This book bridges this gap, integrating cutting-edge machine learning techniques with established economic analysis to provide... Read more
1. Quantitative methods in economics: Deep learning models applications 2. Deep learning model techniques 3. Regression and discrimination problems with deep neural networks 4. Explanatory model analysis for deep learning models 5. Time series analysis and forecasting with deep learning models 6. Sentiment analysis and text mining with deep learning models 7. Other applications of deep learning models Appendices
Biography
Andrzej Dudek is a Professor in the Department of Computer Science and Econometrics, Wrocław University of Economics and Business, Wrocław, Poland.
