Artificial intelligence and statistics development have given rise to machine learning about data analysis. This emerging discipline is a key direction for researchers in the field of data analysis to explore. Moreover, machine learning refers to the acquisition of new experiences and knowledge by computers through inherent regular information, thus enhancing the intelligence of computers for the purpose of making decisions like humans. With the advancement of computer science, the exploration and application of machine learning has made great achievements. Additionally, studying the mathematical theory of machine learning plays an important role in the advancement of computers. Therefore, in this context, this paper explores the mathematical thinking related to machine learning, starting from several popular machine learning techniques.

Ruyun Liu. Exploration of Mathematical Thinking Methods in Machine Learning Algorithms. Academic Journal of Mathematical Sciences (2023) Vol. 4, Issue 3: 13-19. https://doi.org/10.25236/AJMS.2023.040303.

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