[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["缺少我需要的資訊","missingTheInformationINeed","thumb-down"],["過於複雜/步驟過多","tooComplicatedTooManySteps","thumb-down"],["過時","outOfDate","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["示例/程式碼問題","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間：2025-07-27 (世界標準時間)。"],[[["\u003cp\u003eThis module focuses on differentiating between categorical and numerical data within machine learning.\u003c/p\u003e\n"],["\u003cp\u003eYou will learn how to represent categorical data using one-hot vectors and address common issues associated with it.\u003c/p\u003e\n"],["\u003cp\u003eThe module covers encoding techniques for converting categorical data into numerical vectors suitable for model training.\u003c/p\u003e\n"],["\u003cp\u003eFeature crosses, a method for combining categorical features to capture interactions, are also discussed.\u003c/p\u003e\n"],["\u003cp\u003eIt is assumed you have prior knowledge of introductory machine learning and working with numerical data.\u003c/p\u003e\n"]]],[],null,[]]
