機械学習
ルールを書き込むのではなく、データから規則を学ばせる
OVERVIEW
- 全項目
- 6
- 初級
- 2
- 中級
- 3
- 上級
- 1
Machine learning compresses into a single sentence: given a set of samples, find a function that still works on new ones. Around that sentence grow the divide between supervised and unsupervised learning, the tug-of-war between overfitting and regularisation, and the methodology of measuring — honestly — whether it works at all.
この領域が答える問い
- Q1
What separates “memorising” from “learning”?
- Q2
Why does a model that aces training fail in production?
- Q3
What can unlabelled data still be used for?