Название: Data Science for Economics and Finance: Methodologies and Applications
Автор: Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 357
Размер: 10 Mb
Язык: English

This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models.