[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["没有我需要的信息","missingTheInformationINeed","thumb-down"],["太复杂/步骤太多","tooComplicatedTooManySteps","thumb-down"],["内容需要更新","outOfDate","thumb-down"],["翻译问题","translationIssue","thumb-down"],["示例/代码问题","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-07-27。"],[[["\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,[]]
