The Evolution of Machine Learning: From Traditional Algorithms to Deep Learning Paradigms

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dc.contributor.authorAlomari, Saleh Ali
dc.contributor.authorAbdel-Salam, Mahmoud
dc.contributor.authorRaza, Ali
dc.contributor.authorŞahin, Canan Batur
dc.contributor.authorZitar, Raed Abu
dc.contributor.authorZhang, Peiying
dc.contributor.authorSnasel, Vaclav
dc.date.accessioned2026-06-19T06:31:58Z
dc.date.available2026-06-19T06:31:58Z
dc.date.issued2025
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description.abstractThere has been a noticeable development in the area of machine learning (ML) over the last few decades, transitioning from conventional algorithm-based systems to neural networks. The goal of this chapter is to portray the evolution of machine learning, highlighting important steps, primary algorithms, and the development of mono-approach neural network modeling. We examine the various methodologies developed in the field, including supervised, unsupervised, and reinforcement learning, and explain how deep learning architectures have transformed image recognition and natural language processing, and autonomous systems. The chapter concludes by addressing existing issues in machine learning, most notably interpretability, bias and the computational complexity, while suggesting directions for future research in this active field. © 2025 Laith Abualigah.
dc.identifier.doi10.1201/9781003516385-2
dc.identifier.endpage15
dc.identifier.isbn978-104045106-9
dc.identifier.isbn978-103283483-2
dc.identifier.scopus2-s2.0-105013268661
dc.identifier.scopusqualityN/A
dc.identifier.startpage9
dc.identifier.urihttps://doi.org/10.1201/9781003516385-2
dc.identifier.urihttps://hdl.handle.net/20.500.12899/4899
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherCRC Press
dc.relation.ispartofA to Z of Deep Learning and AI
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260612
dc.subjectDeep Learning
dc.subjectDeep Reinforcement Learning
dc.subjectImage Processing
dc.subjectLearning Algorithms
dc.subjectLearning Systems
dc.subjectNatural Language Processing Systems
dc.subjectNeural Networks
dc.subjectReinforcement Learning
dc.subjectConventional Algorithms
dc.subjectInterpretability
dc.subjectLanguage Processing
dc.subjectLearning Architectures
dc.subjectLearning Paradigms
dc.subjectMachine-Learning
dc.subjectNatural Languages
dc.subjectNeural Network Model
dc.subjectNeural-Networks
dc.subjectReinforcement Learnings
dc.subjectImage Recognition
dc.titleThe Evolution of Machine Learning: From Traditional Algorithms to Deep Learning Paradigms
dc.typeBook Chapter

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