This book offers a clear and rigorous introduction to the use of machine learning in corporate finance. It explains how companies have moved from budgets, ratios, and spreadsheets to predictive models capable of forecasting sales, estimating liquidity, classifying risks, detecting fraud, and supporting strategic decisions. Without requiring advanced programming knowledge, the book combines financial theory, data science, AI ethics, case studies, and reproducible code in Python and R. Its approach is academic, yet accessible: designed for college students, entrepreneurs, financial analysts, and young professionals who want to understand the digital transformation of finance without losing sight of human judgment. The central message is straightforward: algorithms do not replace financial judgment; they expand upon it, challenge it, and compel us to document it more thoroughly.
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Vendeur : California Books, Miami, FL, Etats-Unis
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a clear and rigorous introduction to the use of machine learning in corporate finance. It explains how companies have moved from budgets, ratios, and spreadsheets to predictive models capable of forecasting sales, estimating liquidity, classifying risks, detecting fraud, and supporting strategic decisions. Without requiring advanced programming knowledge, the book combines financial theory, data science, AI ethics, case studies, and reproducible code in Python and R. Its approach is academic, yet accessible: designed for college students, entrepreneurs, financial analysts, and young professionals who want to understand the digital transformation of finance without losing sight of human judgment. The central message is straightforward: algorithms do not replace financial judgment; they expand upon it, challenge it, and compel us to document it more thoroughly. 60 pp. Englisch. N° de réf. du vendeur 9786630136890
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Paperback. Etat : new. Paperback. This book offers a clear and rigorous introduction to the use of machine learning in corporate finance. It explains how companies have moved from budgets, ratios, and spreadsheets to predictive models capable of forecasting sales, estimating liquidity, classifying risks, detecting fraud, and supporting strategic decisions. Without requiring advanced programming knowledge, the book combines financial theory, data science, AI ethics, case studies, and reproducible code in Python and R. Its approach is academic, yet accessible: designed for college students, entrepreneurs, financial analysts, and young professionals who want to understand the digital transformation of finance without losing sight of human judgment. The central message is straightforward: algorithms do not replace financial judgment; they expand upon it, challenge it, and compel us to document it more thoroughly. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9786630136890
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware 60 pp. Englisch. N° de réf. du vendeur 9786630136890
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book offers a clear and rigorous introduction to the use of machine learning in corporate finance. It explains how companies have moved from budgets, ratios, and spreadsheets to predictive models capable of forecasting sales, estimating liquidity, classifying risks, detecting fraud, and supporting strategic decisions. Without requiring advanced programming knowledge, the book combines financial theory, data science, AI ethics, case studies, and reproducible code in Python and R. Its approach is academic, yet accessible: designed for college students, entrepreneurs, financial analysts, and young professionals who want to understand the digital transformation of finance without losing sight of human judgment. The central message is straightforward: algorithms do not replace financial judgment; they expand upon it, challenge it, and compel us to document it more thoroughly. N° de réf. du vendeur 9786630136890
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Fundamentals of Machine Learning for Corporate Finance | Predictive Models, Data, and Artificial Intelligence for Business Decisions | Angélica Tablada | Taschenbuch | Englisch | 2026 | Our Knowledge Publishing | EAN 9786630136890 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 135771689
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