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Öğe The foundations of aI and ml in business(IGI Global, 2024) Koçyiğit, HülyaMachine learning (ML), a subfield of artificial intelligence (AI), has been rapidly expanding both conceptually and in its various applications. Over the years, organizations across different business sectors have increasingly adopted modern machine-learning approaches. This chapter outlines the fundamentals of ML in business analytics. Special attention is given to the most prominent techniques of supervised learning, such as decision trees, random forests, k-nearest neighbors (KNN), and Naive Bayes. Additionally, the chapter explores significant theoretical examples that demonstrate the core principles of machine learning and its practical applications, aiming to foster an understanding of more technical explanations throughout. © 2024, IGI Global. All rights reserved.Öğe Process of machine learning methods(IGI Global, 2023) Koçyiğit, HülyaThe field of machine learning (ML) has grown to be a prominent subject within developed businesses while aiming to implement data-driven techniques to better day-to-day business activities. The reader is introduced to the most popular learning models in this chapter. Although unsupervised learning, reinforcement learning, and semi-supervised learning are incredibly important, the authors won 't go into further detail about them here. This section will go into great length about supervised learning environments. The authorspropose the following as a summary of the contributions to this chapter: Emphasizing some of the earlier works of literature that tackled these problems and discussing their limitations. In order to do so, the authorspropose to review the regression family (i.e., simple regression and multiple linear regression) and decision tree family (i.e., CART, ID3, C4.5, chi-squared automatic interaction detection (CHAID), bagging and boosting). Examining the function and promise of ML techniques to resolve dilemmas and present potential implementation strategies. © 2023, IGI Global. All rights reserved.
