9781009432245: Financial Data Science
Rilegato
ISBN 10: 1009432249 ISBN 13: 9781009432245
Casa editrice: Cambridge Univ Pr, 2025

Sinossi

Confidently analyze, interpret and act on financial data with this practical introduction to the fundamentals of financial data science. Master the fundamentals with step-by-step introductions to core topics will equip you with a solid foundation for applying data science techniques to real-world complex financial problems. Extract meaningful insights as you learn how to use data to lead informed, data-driven decisions, with over 50 examples and case studies and hands-on Matlab and Python code. Explore cutting-edge techniques and tools in machine learning for financial data analysis, including deep learning and natural language processing. Accessible to readers without a specialized background in finance or machine learning, and including coverage of data representation and visualization, data models and estimation, principal component analysis, clustering methods, optimization tools, mean/variance portfolio optimization and financial networks, this is the ideal introduction for financial services professionals, and graduate students in finance and data science.

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Editore
Cambridge Univ Pr
Data di pubblicazione
2025
Lingua
Inglese
ISBN 10 
1009432249
ISBN 13 
9781009432245
Rilegatura
Copertina rigida
Numero di pagine
414
Contatto del produttore
Cambridge University Press
https://www.cambridge.org/

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