# 第一周 机器学习（ML）策略（1）（ML strategy（1））

- [1.1 为什么是 ML 策略？（Why ML Strategy?）](/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/di-yi-zhou-ml-strategy/11-wei-shi-yao-shi-ml-ce-lveff1f-ff08-why-ml-strategy.md)
- [1.2 正交化（Orthogonalization）](/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/di-yi-zhou-ml-strategy/12-zheng-jiao-hua-ff08-orthogonalization.md)
- [1.3 单一数字评估指标（Single number evaluation metric）](/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/di-yi-zhou-ml-strategy/13-dan-yi-shu-zi-ping-gu-zhi-biao-ff08-single-number-evaluation-metric.md)
- [1.4 满足和优化指标（Satisficing and optimizing metrics）](/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/di-yi-zhou-ml-strategy/14-man-zu-he-you-hua-zhi-biao-ff08-satisficing-and-optimizing-metrics.md)
- [1.5 训练/开发/测试集划分（Train/dev/test 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/di-yi-zhou-ml-strategy/15-xun-7ec3-kai-53d1-ce-shi-jihua-fen-ff08-train-dev-test-distributions.md)
- [1.6 开发集和测试集的大小（Size of dev and test sets）](/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/di-yi-zhou-ml-strategy/16-kai-fa-ji-he-ce-shi-ji-de-da-xiao-ff08-size-of-dev-and-test-sets.md)
- [1.7 什么时候该改变开发/测试集和指标？（When to change dev/test sets and metrics）](/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/di-yi-zhou-ml-strategy/17-shi-yao-shi-hou-gai-gai-bian-kai-53d1-ce-shi-ji-he-zhi-biao-ff1f-ff08-when-to-change-dev-test-set.md)
- [1.8 为什么是人的表现？（ Why human-level performance?）](/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/di-yi-zhou-ml-strategy/18-wei-shi-yao-shi-ren-de-biao-xian-ff1f-ff08-why-human-level-performance.md)
- [1.9 可避免偏差（Avoidable bias）](/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/di-yi-zhou-ml-strategy/19-ke-bi-mian-pian-chaff08-avoidable-bias.md)
- [1.10 理解人的表现（Understanding human-level performance）](/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/di-yi-zhou-ml-strategy/110-li-jie-ren-de-biao-xian-ff08-understanding-human-level-performance.md)
- [1.11 超过人的表现（Surpassing human- level performance）](/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/di-yi-zhou-ml-strategy/111-chao-guo-ren-de-biao-xian-ff08-surpassing-human-level-performance.md)
- [1.12 改善你的模型的表现（Improving your model performance）](/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/di-yi-zhou-ml-strategy/112-gai-shan-nide-mo-xing-de-biao-xian-ff08-improving-your-model-performance.md)