Learning Goals

  • Understand why Machine Learning strategy is important
  • Apply satisficing and optimizing metrics to set up your goal for ML projects
  • Choose a correct train/dev/test split of your dataset
  • Understand how to define human-level performance
  • Use human-level perform to define your key priorities in ML projects
  • Take the correct ML Strategic decision based on observations of performances and dataset

【中文翻译】

学习目标:

  了解机器学习策略的重要性
  应用满足和优化指标, 为 ML 项目设定目标
  选择正确的训练/开发/测试集来分割数据集
  了解如何定义人类水平的表现
  在 ML 项目中使用人类水平的表现来确定关键优先级
  基于各个集合的表现和数据集的观察, 采取正确的 ML 策略

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