• Gulnoza Khamidova Akramjon kizi Chief specialist of strategic development and international ratings department of Fergana State University


Machine learning has revolutionized various fields, offering unprecedented opportunities for automation, prediction, and data-driven decision-making. This thesis delves into the realm of machine learning, exploring the core algorithms, diverse applications, and the far-reaching implications of this technology. Through a systematic analysis of machine learning techniques, real-world use cases, and the ethical considerations surrounding the technology, this study aims to contribute to our understanding of the rapidly evolving landscape of machine learning.

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Как цитировать

Khamidova , G. . (2023). "ADVANCEMENTS IN MACHINE LEARNING: ALGORITHMS, APPLICATIONS, AND IMPLICATIONS". Solution of Social Problems in Management and Economy, 2(12), 10–24. извлечено от http://econferences.ru/index.php/sspme/article/view/9396