Machine Learning and Modeling Techniques in Financial Data Science - Rilegato

 
9798369381861: Machine Learning and Modeling Techniques in Financial Data Science
Rilegato
ISBN 13: 9798369381861
Casa editrice: Business Science Reference, 2025

Sinossi

The integration of machine learning and modeling in finance is transforming how data is analyzed, enabling more accurate predictions, risk assessments, and strategic planning. These advanced techniques empower financial professionals to uncover hidden patterns, automate complex processes, and enhance decision-making in volatile markets. As industries increasingly rely on data-driven insights, the adoption of these tools contributes to greater efficiency, reduced uncertainty, and competitive advantage. This technological shift not only drives innovation within financial sectors but also supports broader economic stability and growth by improving forecasting and mitigating risks. Machine Learning and Modeling Techniques in Financial Data Science provides an updated review and highlights recent theoretical advances and breakthroughs in professional practices within financial data science, exploring the strategic roles of machine learning and modeling techniques across various domains in finance. It offers a comprehensive collection that brings together a wealth of knowledge and experience. Covering topics such as algorithmic trading, financial technology (FinTech), and natural language processing (NLP), this book is an excellent resource for business professionals, leaders, policymakers, researchers, academicians, and more.

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Editore
Business Science Reference
Data di pubblicazione
2025
Lingua
Inglese
ISBN 13 
9798369381861
Rilegatura
Copertina rigida
Numero di pagine
700
Redattore
Chen Haojun
Contatto del produttore
non disponibile
Persona responsabile
gpsr@libri.de
gpsr@libri.de

Friedensallee 273
Hamburg
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Germania