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This chapter outlines the use of machine learning and metaheuristic algorithms to help address complex problems in business. When information grows and changes quickly, traditional tools are usually unable to deal with all the issues businesses face. Machine learning gives effective abilities in recognizing patterns, predicting outcomes, and automating tasks, while metaheuristic algorithms offer useful and flexible ways to solve problems without a straightforward answer. In the end, this chapter gives readers a detailed picture of how intelligent systems can assist businesses in making decisions.

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Machine Learning in Business Research

  • 章节

  • 发表日期：

    2025年

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  • XinYing Chew,
  • Abbas Gatea Atiyah,
  • Alhamzah Alnoor,
  • Sammar Abbas,
  • Yousif Raad Muhsen,
  • Gül Erkol Bayram

摘要

This chapter outlines the use of machine learning and metaheuristic algorithms to help address complex problems in business. When information grows and changes quickly, traditional tools are usually unable to deal with all the issues businesses face. Machine learning gives effective abilities in recognizing patterns, predicting outcomes, and automating tasks, while metaheuristic algorithms offer useful and flexible ways to solve problems without a straightforward answer. In the end, this chapter gives readers a detailed picture of how intelligent systems can assist businesses in making decisions.