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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v9i4.11447</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>The Application of Artificial Intelligence in Daily Life: A Preliminary Exploration of Machine Learning</title><url>https://artdesignp.com/journal/JERA/9/4/10.26689/jera.v9i4.11447</url><author>WangXincheng,WangJingjing</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>4</issue><history><date date-type="pub"><published-time>2025-08-08</published-time></date></history><abstract>This paper delves into the application of artificial intelligence in daily life and the basic concepts of machine learning. Firstly, the concept and background of artificial intelligence were introduced, as well as machine learning as an important branch of artificial intelligence. Subsequently, the specific applications of artificial intelligence in daily life were elaborated, including intelligent voice assistants, recommendation systems, as well as image recognition and facial recognition technologies. Subsequently, a preliminary exploration was conducted on the basic concepts of machine learning, including paradigms such as supervised learning, unsupervised learning, and reinforcement learning, as well as common algorithms such as linear regression, logistic regression, decision trees, and support vector machines. 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