
Financial Data Science
Tsai, Alicia El Ghaoui, Laurent Calafiore, Giuseppe Fracastoro, Giulia
Innbundet
Leveringstid: 2-4 uker
Handlinger
Beskrivelse
Omtale
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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Utgivelsesdato:
17.07.2025
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ISBN/Varenr:
9781009432245
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Språk:
, Engelsk
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Forlag:
Cambridge University Press
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Fagtema:
Økonomi, finans, næringsliv og ledelse
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Litteraturtype:
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Sider:
414
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Høyde:
21 cm
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Bredde:
26.2 cm