In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.
이 강좌에 대하여
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RECOMMENDATION SYSTEMS ON GOOGLE CLOUD의 최상위 리뷰
An awesome course. Excellent explanation of concepts as well as programs.
Easy lab setups and hands on learning.
Some of the labs had no work for me to do whatsoever - just run the notebook as is. Other than that, great course. Cheers!
Composer component takes too long to initiate. Almost more than 25 minutes. Please fix it.
kudos to team gcp, practical guide to implementing a recommendation system and helpful overview of gcp tml ools
자주 묻는 질문
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등록 후 세션이 시작되면 읽기 자료 항목 및 강좌 토론 포럼을 포함하여 모든 비디오와 기타 리소스를 이용할 수 있습니다. 연습 평가를 보고 제출하며 필요한 성적 평가 과제를 완료하여 성적을 받고 강좌 수료증을 취득할 수 있습니다.
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강좌를 성공적으로 수료하면 전자 강좌 수료증이 성취도 페이지에 추가됩니다. 해당 페이지에서 강좌 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다.
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이 강좌는 현재 Coursera에서 수업료를 결제했거나 재정 지원(해당하는 경우)을 받은 학습자만 이용할 수 있는 강좌입니다.
재정 지원을 받을 수 있나요?
예. 등록금을 지불할 여유가 없는 학습자는 일부 학습 프로그램에 대해 재정 지원 또는 장학금을 신청할 수 있습니다. 재정 지원 또는 장학금을 선택한 학습 프로그램에서 신청할 수 있는 경우, 신청 링크는 설명 페이지에서 확인할 수 있습니다.
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Last Updated: September 1, 2015
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