# 第二周：机器学习策略（2）(ML Strategy (2))

- [2.1 进行误差分析（Carrying out error analysis）](/neural-networks-and-deep-learning/di-san-men-ke-jie-gou-hua-ji-qi-xue-xi-xiang-mu-structuring-machine-learning-projects/di-san-men-ke-structuring-machine-learning-projects/ml-strategy/21-jin-xing-wu-cha-fen-xi-ff08-carrying-out-error-analysis.md)
- [2.2 清楚标注错误的数据（Cleaning up Incorrectly labeled data）](/neural-networks-and-deep-learning/di-san-men-ke-jie-gou-hua-ji-qi-xue-xi-xiang-mu-structuring-machine-learning-projects/di-san-men-ke-structuring-machine-learning-projects/ml-strategy/22-qing-chu-biao-zhu-cuo-wu-de-shu-ju-ff08-cleaning-up-incorrectly-labeled-data.md)
- [2.3 快速搭建你的第一个系统，并进行迭代（Build your first system quickly, then iterate）](/neural-networks-and-deep-learning/di-san-men-ke-jie-gou-hua-ji-qi-xue-xi-xiang-mu-structuring-machine-learning-projects/di-san-men-ke-structuring-machine-learning-projects/ml-strategy/23-kuai-su-da-jian-ni-de-di-yi-ge-xi-tong-ff0c-bing-jin-xing-die-dai-ff08-build-your-first-system-qu.md)
- [2.4 在不同的划分上进行训练并测试（Training and testing on different distributions）](/neural-networks-and-deep-learning/di-san-men-ke-jie-gou-hua-ji-qi-xue-xi-xiang-mu-structuring-machine-learning-projects/di-san-men-ke-structuring-machine-learning-projects/ml-strategy/24-zai-bu-tong-de-huafen-shang-jin-xing-xun-lian-bing-ce-shi-ff08-training-and-testing-on-different.md)
- [2.5 不匹配数据划分的偏差和方差（Bias and Variance with mismatched data distributions）](/neural-networks-and-deep-learning/di-san-men-ke-jie-gou-hua-ji-qi-xue-xi-xiang-mu-structuring-machine-learning-projects/di-san-men-ke-structuring-machine-learning-projects/ml-strategy/25-bu-pi-pei-shu-ju-huafen-de-pian-cha-he-fang-cha-ff08-bias-and-variance-with-mismatched-data-distr.md)
- [2.6 定位数据不匹配（Addressing data mismatch）](/neural-networks-and-deep-learning/di-san-men-ke-jie-gou-hua-ji-qi-xue-xi-xiang-mu-structuring-machine-learning-projects/di-san-men-ke-structuring-machine-learning-projects/ml-strategy/26-ding-wei-shu-ju-bu-pi-pei-ff08-addressing-data-mismatch.md)
- [2.7 迁移学习（Transfer learning）](/neural-networks-and-deep-learning/di-san-men-ke-jie-gou-hua-ji-qi-xue-xi-xiang-mu-structuring-machine-learning-projects/di-san-men-ke-structuring-machine-learning-projects/ml-strategy/27-qian-yi-xue-xi-ff08-transfer-learning.md)
- [2.8 多任务学习（Multi-task learning）](/neural-networks-and-deep-learning/di-san-men-ke-jie-gou-hua-ji-qi-xue-xi-xiang-mu-structuring-machine-learning-projects/di-san-men-ke-structuring-machine-learning-projects/ml-strategy/28-duo-ren-wu-xue-xi-ff08-multi-task-learning.md)
- [2.9 什么是端到端的深度学习？（What is end-to-end deep learning?）](/neural-networks-and-deep-learning/di-san-men-ke-jie-gou-hua-ji-qi-xue-xi-xiang-mu-structuring-machine-learning-projects/di-san-men-ke-structuring-machine-learning-projects/ml-strategy/29-shi-yao-shi-duan-dao-duan-de-shen-du-xue-xiff1f-ff08-what-is-end-to-end-deep-learning.md)
- [2.10 是否要使用端到端的深度学习？（Whether to use end-to-end learning?）](/neural-networks-and-deep-learning/di-san-men-ke-jie-gou-hua-ji-qi-xue-xi-xiang-mu-structuring-machine-learning-projects/di-san-men-ke-structuring-machine-learning-projects/ml-strategy/210-shi-fou-yao-shi-yong-duan-dao-duan-de-shen-du-xue-xi-ff1f-ff08-whether-to-use-end-to-end-learnin.md)