Data Science for Economics and Finance: Methodologies and Applications
Overview & Synopsis
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.
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Document Information
| Document Title | Data Science for Economics and Finance: Methodologies and Applications |
|---|---|
| Author / Organization | Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana |
| Subject & Discipline | Data Science and Data Engineering, Financial Mathematics, Financial Engineering, etc., Data Analysis and Data Mining, Big Data, Statistics, Mathematical Statistics, and SAS Programming |
| Categories | Data Science and Data Engineering |
| Publication Year | 2021 |
| ISBN | 978-3030668938 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | Access Restricted / Protected Host |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-91305 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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