Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
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ISBN 10: 1009432249 ISBN 13: 9781009432245
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ISBN 10: 1009432249 ISBN 13: 9781009432245
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Editore: Cambridge University Press, 2025
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Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
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Editore: Cambridge University Press, Cambridge, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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. Finance professionals and graduate students in financial engineering, business, and data science alike will learn to confidently analyze, interpret and act on financial data with this practical introduction to the fundamentals of financial data science. Includes Python and Matlab examples, and real-world case studies and exercises. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
Lingua: Inglese
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Finance professionals and graduate students in financial engineering, business, and data science alike will learn to confidently analyze, interpret and act on financial data with this practical introduction to the fundamentals of financial data science. Includes Python and Matlab examples, and real-world case studies and exercises.
Editore: Cambridge University Press, Cambridge, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. 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. Finance professionals and graduate students in financial engineering, business, and data science alike will learn to confidently analyze, interpret and act on financial data with this practical introduction to the fundamentals of financial data science. Includes Python and Matlab examples, and real-world case studies and exercises. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
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Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
Lingua: Inglese
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Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
Lingua: Inglese
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Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Editore: Cambridge University Press, Cambridge, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
Lingua: Inglese
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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. Finance professionals and graduate students in financial engineering, business, and data science alike will learn to confidently analyze, interpret and act on financial data with this practical introduction to the fundamentals of financial data science. Includes Python and Matlab examples, and real-world case studies and exercises. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Cambridge University Press, 2025
ISBN 10: 1009432249 ISBN 13: 9781009432245
Lingua: Inglese
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EUR 83,60
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Aggiungi al carrelloBuch. Condizione: Neu. Financial Data Science | Giuseppe Calafiore (u. a.) | Buch | Englisch | 2025 | Cambridge University Press | EAN 9781009432245 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.