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Financial Data Science.

Financial Data Science.

・ISBN 978-1-009-43224-5 hard GB£ 59.99

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お気に入り
電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-1-009-43228-3
著者・編者Calafiore, Giuseppe / El Ghaoui, Laurent / Fracastoro, Giulia / Tsai, Alicia,
出版社 (Cambridge University Press, UK)
出版年月2025
ページ数414 pp.
言語ENG
ニュース番号<A03-91634>

解説

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.