后续步骤
恭喜您完成本单元的学习！
我们鼓励您根据自己的兴趣和进度探索各种 MLCC 模块。如果您想按照建议的顺序学习，我们建议您接下来学习以下模块：神经网络。
数据集、泛化和过拟合：测试知识掌握情况
如未另行说明，那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可，并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情，请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC)：2025-07-27。
[null,null,["最后更新时间 (UTC)：2025-07-27。"],[[["\u003cp\u003eThis module focuses on the concepts of datasets, generalization, and overfitting in machine learning.\u003c/p\u003e\n"],["\u003cp\u003eA quiz is available to test your understanding and earn a badge upon completion.\u003c/p\u003e\n"],["\u003cp\u003eAfter completing this module, it is recommended to explore other MLCC modules, with neural networks suggested as the next step.\u003c/p\u003e\n"]]],[],null,["# Datasets, generalization, and overfitting: Test your knowledge\n\n\u003cbr /\u003e\n\n|\n| Take this quiz to test your knowledge of this module's concepts and earn the \"Datasets, Generalization, and Overfitting\" badge! \n| [Open quiz](/machine-learning/crash-course/overfitting/quiz)\n\nWhat's next\n-----------\n\nCongratulations on finishing this module!\n\nWe encourage you to explore the various [MLCC modules](/machine-learning/crash-course)\nat your own pace and interest. If you'd like to follow a recommended order,\nwe suggest that you move to the following module next:\n**[Neural networks](/machine-learning/crash-course/neural-networks)**.\n\n*** ** * ** ***\n\n[Help Center](https://support.google.com/machinelearningeducation)"]]