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Data Science for Economics and Finance - Methodologies and Applications (Hardcover, 1st ed. 2021) Loot Price: R1,680
Discovery Miles 16 800
Data Science for Economics and Finance - Methodologies and Applications (Hardcover, 1st ed. 2021): Sergio Consoli, Diego...

Data Science for Economics and Finance - Methodologies and Applications (Hardcover, 1st ed. 2021)

Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana

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Loot Price R1,680 Discovery Miles 16 800 | Repayment Terms: R157 pm x 12*

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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. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: June 2021
First published: 2021
Editors: Sergio Consoli • Diego Reforgiato Recupero • Michaela Saisana
Dimensions: 235 x 155 x 28mm (L x W x T)
Format: Hardcover
Pages: 355
Edition: 1st ed. 2021
ISBN-13: 978-3-03-066890-7
Categories: Books > Social sciences > Politics & government > Public administration
Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-03-066890-8
Barcode: 9783030668907

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