机器学习算法中数学思维方法的探索

Ruyun Liu
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引用次数: 0

摘要

人工智能和统计学的发展导致了数据分析的机器学习。这一新兴学科是数据分析领域研究人员探索的重点方向。此外,机器学习是指计算机通过固有的规则信息获取新的经验和知识,从而增强计算机的智能,使其能够像人类一样做出决策。随着计算机科学的进步,机器学习的探索和应用取得了巨大的成就。此外,研究机器学习的数学理论在计算机的进步中起着重要的作用。因此,在此背景下,本文从几种流行的机器学习技术开始,探讨与机器学习相关的数学思维。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploration of Mathematical Thinking Methods in Machine Learning Algorithms
: 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.
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