监督学习Supervised Learning
Supervised Learning
解决什么问题What problem it solves
给机器带答案的练习题，让它学会从题目推答案。Give the machine practice questions with answers, so it learns to derive answers from inputs.
这是什么What it is
训练数据每条都带正确答案，模型学着从输入推出答案。
常见任务分两类：预测连续数值叫回归，判断类别叫分类。
Every training example carries the correct answer; the model learns to map input to answer.
Two classic task families: predicting a continuous number is regression, deciding a category is classification.
为什么需要知道Why it matters
大模型的预训练并不属于这一类。分清它，你才知道模型是怎么练出来的。Pretraining a large model is not this kind of learning. Telling them apart is how you understand how models are actually trained.
现在能做什么What you can do now
回到名词地图看第1站的其他 34 个词 →Back to the map: the other 34 terms in station 1 →
出处Sources
- scikit-learn 监督学习官方教程scikit-learn supervised learning tutorial ↗