2. How does Supervised Learning work?

이 카테고리는 Standford Univ. Andrew Ng 교수님의 Machine-Learning 강의를 듣고 개인 복습을 위해 작성한 포스트 입니다. 3-1. Notation (표기법) m data set number (데이터 개수) x "input" variable / features y "output" variable / "target" variable ( x , y ) one training example ( x(i) , y(i) ) i 번째 training example 3-2. How does the supervised learning work? (지도학습 작동 원리) training set (housing price) ↓ feed Learning Algorithm ↓ size of hous..

2021.02.03