menu
{ "item_title" : "Financial Data Science", "item_author" : [" Giuseppe Calafiore", "Laurent El Ghaoui", "Giulia Fracastoro "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/00/943/224/1009432249_b.jpg", "price_data" : { "retail_price" : "74.99", "online_price" : "74.99", "our_price" : "74.99", "club_price" : "74.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Financial Data Science|Giuseppe Calafiore

Financial Data Science

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

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.

This item is Non-Returnable

Details

  • ISBN-13: 9781009432245
  • ISBN-10: 1009432249
  • Publisher: Cambridge University Press
  • Publish Date: July 2025
  • Dimensions: 10 x 8 x 0.94 inches
  • Shipping Weight: 2.34 pounds
  • Page Count: 414

Related Categories

You May Also Like...

    1

BAM Customer Reviews