Machine learning applications finance (19 Ergebnisse)

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Paperback. Zustand: Brand New. 379 pages. 10.00x7.00x1.00 inches. In Stock.

Zustand: New. 2018. 1st ed. Paperback. . . . . . Books ship from the US and Ireland.

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Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingThis book is designed for finance professionals, quantitative analysts, data scientists, and developers who want to apply machine learning methods specifically to finance. Basic knowledge of Python and familiarity with core financial concepts is recommended.Whether you work in banking, asset management, fintech, or hedge funds, this book provides a structured introduction to integrating machine learning into financial decision-making processes.Clear, practical, and focused, an essential reference for implementing ML solutions in finance.…

Taschenbuch. Zustand: Neu. Machine Learning Applications Using Python | Cases Studies from Healthcare, Retail, and Finance | Puneet Mathur | Taschenbuch | xviii | Englisch | 2018 | Apress | EAN 9781484237861 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Taschenbuch. Zustand: Neu. Bayesian Machine Learning in Quantitative Finance | Theory and Practical Applications | Wilson Tsakane Mongwe (u. a.) | Taschenbuch | xxxix | Englisch | 2026 | Springer | EAN 9783031884337 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling problems within quantitative finance. It demonstrates how advanced Bayesian machine learning techniques can be applied within financial engineering, investment portfolio management, insurance, municipal finance management as well as banking.The book covers a broad range of modelling approaches, including Bayesian neural networks, Gaussian processes and Markov Chain Monte Carlo methods. It also discusses the utility of Bayesian inference in quantitative finance and discusses future research goals in the applications of Bayesian machine learning in quantitative finance. Chapters are rooted in the theory of quantitative finance and machine learning while also outlining a range of practical considerations for implementing Bayesian techniques into real-world quantitative finance problems. This book is ideal for graduate researchers and practitioners at the intersection of machine learning and quantitative finance, as well as those working in computational statistics and computer science more broadly.…

Hardcover. Zustand: Brand New. 300 pages. 8.27x5.83x8.27 inches. In Stock.

Zustand: New. 2025. hardcover. . . . . . Books ship from the US and Ireland.

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paperback. Zustand: Very Good.