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Financial Data Science.
・ISBN 978-1-009-43224-5 hard GB£ 59.99
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お気に入り
★★★
| 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.