In Press Review Paper Uncorrected Proof

The following articles have been peer-reviewed and accepted for publication. They are scheduled to appear in an upcoming issue. These manuscripts are provided for early dissemination and may undergo minor copyediting and typesetting before final issue publication.

Machine Learning Characteristics and Applications, a review paper

Abstract

In this work, we present a comprehensive review of machine learning, a vital branch of artificial intelligence that evolves rapidly across variety of scientific fields. We address the basic concept of machine learning, explore the peculiar characteristics of machine learning, and review its main types.

Furthermore, we highlight various applications of machine learning within different fields, such as security, natural language processing, agriculture, and healthcare. Number of important studies with high contribution to this field have been discussed in this review, considering their findings and future paths in the field, and focusing on recently emerged innovative methodologies.

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How to Cite (In Press)

Marwah Mohammed, Shahbaa Ibrahim Khaleel (2026). Machine Learning Characteristics and Applications, a review paper . IRAQI JOURNAL OF STATISTICAL SCIENCES, In Press. https://doi.org/10.33899/iqjoss.v23i2.51182