[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-機器學習":3},{"tag":4,"articles":10,"peer_article_count":11},{"id":5,"name":6,"slug":6,"article_count":7,"description_zh":8,"description_en":9},"0fd444ae-6ea3-42bb-8270-7d33c8468df0","機器學習",7,"機器學習涵蓋模型訓練、特徵工程、評估與部署，也連到資料科學職缺、課程實作、廣告排序與學術投稿等場景。這個標籤整理的是技術如何從 notebook、競賽到線上系統落地，適合追蹤方法、工具與應用脈絡。","Machine learning covers model training, feature engineering, evaluation, and deployment, and it shows up in course notebooks, entry-level data science roles, ad ranking, and research submissions. This tag tracks how methods move from experiments to production systems.",[],9]