Kód: 35570195

Data Science for Economics and Finance

Jazyk: Angličtina
Väzba: Brožovaná
Počet strán: 355
Nakladateľ: Springer Nature Switzerland AG, 2021
Viac informácií o knihe

64.01 €

Skladom u dodávateľa v malom množstve
Odosielame za 12 - 15 dní

Potrebujete viac kusov?Ak máte záujem o viac kusov, preverte, prosím, najprv dostupnosť titulu na našej zákazníckej podpore.

Pridať medzi želanie

Mohlo by sa vám tiež páčiť

Instant Economics
17.34 € -4 %
Kúpiť
Good Economics for Hard Times
19.27 € -9 %
Kúpiť

Darujte túto knihu ešte dnes

Objednajte knihu a vyberte Zaslať ako darček.
Obratom obdržíte darovací poukaz na knihu, ktorý môžete ihneď odovzdať obdarovanému.
Knihu zašleme na adresu obdarovaného, o nič sa nestaráte.

Viac informácií

Viac informácií o knihe Data Science for Economics and Finance

Parametre knihy
Anotácia kniha
Obľúbené z iného súdka

Nákupom získate 160 bodov

Anotácia knihy

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.