https://yao-chih.netlify.app/en/tags/about/About - Tag - ZhiverseHugo -- gohugo.ioenyaochihh@gmail.com (Josh)yaochihh@gmail.com (Josh)Zhiversehttps://yao-chih.netlify.app/en/about/Fri, 13 Jun 2025 15:43:34 +0800Authorhttps://yao-chih.netlify.app/en/about/https://yao-chih.netlify.app/en/introduction-to-machine-learning/Wed, 02 Apr 2025 15:16:47 +0800Authorhttps://yao-chih.netlify.app/en/introduction-to-machine-learning/<div class="featured-image"> <img src="https://raw.githubusercontent.com/Josh-test-lab/website-assets-repository/refs/heads/main/posts/Introduction%20to%20Machine%20Learning/cover%20image.png" referrerpolicy="no-referrer"> </div>Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that enables computers to learn from data and make predictions or decisions without being explicitly programmed step by step. In traditional data analysis and programming, developers often need to manually write specific rules for each analytical task. In contrast, machine learning relies on data and uses trained models to automatically identify rules or discover patterns. With the rise of the digital age, massive amounts of information and data are generated and collected every day. Regardless of whether these datasets are inherently valuable or contain subtle, hidden insights, machine learning allows us to uncover and leverage this information. ML technologies are now widely applied across various industries, including finance, healthcare, manufacturing, and autonomous driving.https://yao-chih.netlify.app/en/about-author/Thu, 20 Feb 2025 17:13:36 +0800Hsu, Yao-Chihhttps://yao-chih.netlify.app/en/about-author/