MACHINE LEARNING AND ITS PROSPECTS
Fayziyev Voxid Ahrorov Muhammad Toshboyev Jahongir Axrorova SevaraTeacher of Samarkand branch of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi
ABI
Abstract
This paper provides an overview of machine learning (ML), its current state of development, and the prospects of this exciting field. ML is a branch of artificial intelligence that enables computers to learn from data, rather than relying on explicit programming. The applications of ML are broad and diverse, from healthcare to finance, marketing, transportation, and manufacturing. Despite these impressive applications, ML still faces challenges such as biased data, lack of transparency, and security concerns. Despite these challenges, the prospects of ML are promising and will continue to grow as the field develops. The paper concludes by highlighting the importance of continued research and development in ML.
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