Financial Data Science
Hardback or Cased Book 00414 pages Jul 17, 2025
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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.
- Author:
- Giuseppe Calafiore
- Publisher:
- Cambridge University Press
- Publication Date:
- Jul 17, 2025
- Number of pages:
- 00414 pages
- Binding:
- Hardback or Cased Book
- ISBN-10:
- 1009432249
- ISBN-13:
- 9781009432245