Giuseppe Calafiore: Financial Data Science

Cover: 9781009432245 | Financial Data Science | Giuseppe Calafiore (u. a.) | Buch | Englisch

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Sprache: Englisch

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Beschreibung

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.

Über den Autor

Giuseppe C. Calafiore is a Professor of Automatic Control at the Electronics and Telecommunications Department at Politecnico di Torino, where he coordinates the Control Systems and Data Science group, and a former Visiting Professor at the University of California, Berkeley, where he co-taught graduate courses in financial data science. He is a co-author of Optimization Models (2014), and a Fellow of the IEEE.

Inhaltsverzeichnis

1. Preface; 2. Data representation and visualization; 3. Data models and estimation; 4. Principle component analysis; 5. Clustering methods; 6. Linear regression models; 7. Linear classifers; 8. Nonlinear classifiers and kernel methods; 9. Neural networks and deep learning; 10. Optimization tools; 11. Mean/variance portfolio optimization; 12. Beyond the mean/variance model; 13. Financial networks; 14. Text analytics; Index.

Details

Erscheinungsjahr:	2025
Fachbereich:	Nachrichtentechnik
Genre:	Importe , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
ISBN-13:	9781009432245
ISBN-10:	1009432249
Sprache:	Englisch
Einband:	Gebunden
Autor:	Calafiore, Giuseppe El Ghaoui, Laurent Fracastoro, Giulia
Hersteller:	Cambridge University Press
Verantwortliche Person für die EU:	Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße:	260 x 208 x 27 mm
Von/Mit:	Giuseppe Calafiore (u. a.)
Erscheinungsdatum:	09.06.2025
Gewicht:	1,106 kg