Description

Book Synopsis

Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent.

Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers:

  • Data-driven modelling
  • Predictive analytics
  • Data analytics and visuali

DataDriven Modelling and Predictive Analytics in

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    £74.99

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    Order before 4pm tomorrow for delivery by Wed 29 Jul 2026.

    A Paperback by Alex Khang

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      Publisher: Taylor & Francis Ltd
      Publication Date: Publication Date: 1/24/2024
      ISBN13: 9781032600628, 978-1032600628
      ISBN10: 1032600624

      Description

      Book Synopsis

      Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent.

      Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers:

      • Data-driven modelling
      • Predictive analytics
      • Data analytics and visuali

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