Raza hamad (14 résultats)

Etat : New.

Etat : New.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New. In.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New. In.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Hardback. Etat : New.

Hardback. Etat : New.

Taschenbuch. Etat : Neu. Algorithmic Training, Future Markets, and Big Data for Finance Digitalization | Hamad Raza (u. a.) | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798369363874 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Buch. Etat : Neu. Algorithmic Training, Future Markets, and Big Data for Finance Digitalization | Hamad Raza (u. a.) | Buch | Englisch | 2025 | IGI Global | EAN 9798369363867 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Algorithmic training, future markets, and big data are at the forefront of the digitalization revolution in finance, driving innovation and reshaping the industry's landscape. The integration of algorithms in financial decision-making enables faster, accurate predictions and automated processes, optimizing trading strategies and risk management. As financial markets evolve, future-oriented technologies, including artificial intelligence and machine learning, offer new areas for growth, with algorithms refining their effectiveness in response to real-time data. Big data provides vast amounts of information that can be analyzed to identify trends, enhance customer experiences, and inform investment strategies. Together, these elements transform finance into a more agile, data-driven system, increasing digitalization and creating new opportunities for growth, efficiency, and innovation. Algorithmic Training, Future Markets, and Big Data for Finance Digitalization explores the most current and transformative trends in the world of digital finance, from digital currencies to blockchain, fintech, financial inclusion and artificial intelligence. It offers a comprehensive analysis of how technology is revolutionizing financial services, products, and access for individuals and institutions alike. This book covers topics such as data science, financial technology, and machine learning, and is a useful resource for business owners, computer engineers, entrepreneurs, economists, finance professionals, academicians, and researchers.…

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Algorithmic training, future markets, and big data are at the forefront of the digitalization revolution in finance, driving innovation and reshaping the industry's landscape. The integration of algorithms in financial decision-making enables faster, accurate predictions and automated processes, optimizing trading strategies and risk management. As financial markets evolve, future-oriented technologies, including artificial intelligence and machine learning, offer new areas for growth, with algorithms refining their effectiveness in response to real-time data. Big data provides vast amounts of information that can be analyzed to identify trends, enhance customer experiences, and inform investment strategies. Together, these elements transform finance into a more agile, data-driven system, increasing digitalization and creating new opportunities for growth, efficiency, and innovation. Algorithmic Training, Future Markets, and Big Data for Finance Digitalization explores the most current and transformative trends in the world of digital finance, from digital currencies to blockchain, fintech, financial inclusion and artificial intelligence. It offers a comprehensive analysis of how technology is revolutionizing financial services, products, and access for individuals and institutions alike. This book covers topics such as data science, financial technology, and machine learning, and is a useful resource for business owners, computer engineers, entrepreneurs, economists, finance professionals, academicians, and researchers.…