Abstract:
Mathematics serves as the cornerstone of machine learning, providing the essential framework for understanding, developing, and optimizing algorithms. This paper explores the critical role played by mathematical concepts such as linear algebra, calculus, probability theory, and optimization methods in the field of machine learning. This paper offers a broad perspective to assist researchers and professionals in understanding the mathematical principles behind modern machine learning, promoting advancements in artificial intelligence.
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