형, 반정형, 비정형데이터의 차이, 배치 및 스트리밍 데이터의 차이도 함께 배웠습니다. 또한,
브라우저 기반의 무료 파이썬 주피터 노트북과 깃허브로실습하는 환경을 간략히 살펴봤습니
다.그리고지저분한 데이터를 다루는 일은 까다로울 뿐 아니라,
ML
모델에 필요한 데이터를
수집하는 데 영향을 미칠 수 있다는 사실도 알게 되었습니다.
다음 장은
ML
프레임워크를 알아보고,
AutoML
로 작업하는 방법을 다룹니다. 제공되는 미리
전처리된 데이터셋을
AutoML
프레임워크에 업로드하기만 하면,한 줄의 코드도 작성하지 않
고도 예측 모델을 구축하고 학습시킬 수 있음을 알게 될 것입니다.
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