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파이썬을 활용한 머신러닝 자동화 시스템 구축

실무자를 위한 머신러닝 핵심 개념, 모델 선택 및 하이퍼파라미터 튜닝, 최적화 기법


머신러닝 자동화를 통해 데이터 분석과 모델 개발에만 집중하세요!

머신러닝 자동화 시스템의 원리는 머신러닝 실무자에게 굉장히 중요한 내용입니다. 이 책에서는 데이터 탐색 방법을 비롯해 탐색 결과에 따른 적절한 전처리 기법과 모델 선택, 최적화 기법을 이용한 하이퍼파라미터 튜닝 등 머신러닝 실무에 꼭 필요한 내용을 자세히 설명합니다. 이 책의 내용이 머신러닝 실무자에게 도움이 되길 바랍니다.


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