模式与分类
Patterns and Classification
人类很擅长发现规律；计算机也能学会发现规律，但它需要大量示例。分类和归类活动是机器学习的基础。
Humans are great at spotting patterns; computers can learn to spot patterns too, but they need lots of examples; sorting and classification activities as the basis of machine learning
学习证据 / Evidence
- 将一组物品进行分类，并解释所用的分类规则
- 说明计算机通过观察大量示例来学习规律
- 描述为什么计算机学会同样的规律需要比人类更多的示例
- Sort a set of items into categories and explain the rules they used
- Explain that computers learn patterns by looking at many examples
- Describe why a computer needs more examples than a human to learn the same pattern
评估问题 / Assessment
如果你给{{name}}看猫和狗的照片，他们能解释计算机是怎样学会区分它们的吗？他们能说明为什么计算机需要比人类多很多的图片吗？
If you showed {{name}} pictures of cats and dogs, could they explain how a computer could learn to tell them apart — and why it would need many more pictures than a person would?