Overview

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.
ISBN-13

9781009432245

ISBN-10

1009432249

Weight

2.40 Pounds

Dimensions

8.00 x 0.94 x 10.00 In

List Price

$74.99

Format

Hardcover

Language

English

Pages

414 pages

Publisher

Cambridge University Press

Published On

2025-07-17


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Alibris
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