September 2024
Beginner to intermediate
364 pages
8h 27m
Korean
Content preview from 머신러닝 인터뷰 실무 가이드
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32
머신러닝 인터뷰 실무 가이드
다양한 직책의 탄생 배경을 알아봤으니, 이제 각 직책과 그 책임에 대해 설명하겠습니다.
1
.
3
머신러닝 경험을 요구하는 직책
다음은 머신러닝 (또는 밀접하게 연관되어 있는 ) 직책의 일부입니다.
11
머신러닝과 데이터 사이언스는 데이터를 사용하며, 데이터 엔지니어가 직접 머신러닝 기술을 사용할 가능성은 낮지만 이들의 작업과 협
업은 머신러닝 워크플로에 필수적입니다.
12
세레나 맥도넬(프린시플 데이터 사이언티스트)은 헤지펀드 분야에서는 ‘리서치 사이언티스트’와 ‘리서치 엔지니어’가 머신러닝 직무를 지
칭하는 데 사용된다고 설명했습니다.
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데이터 사이언티스트
●
머신러닝 엔지니어
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응용 사이언티스트
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머신러닝 소프트웨어 엔지니어
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MLOps
엔지니어
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프로덕트 데이터 사이언티스트
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데이터 애널리스트
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디시전 사이언티스트
Decision
scientist
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데이터 엔지니어
11
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리서치 사이언티스트
Research
scientist
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리서치 엔지니어
Research
engineer
12
1
.
2
‘머신러닝과 데이터 사이언스 직책의 간략한 역사’ 절에서 설명했듯이, 각 직책은 머신러
닝 생애주기의 각기 다른 부분을 다룹니다. 이 책만으로는 직무의 구체적인 내용을 알 수 없
습니다. 구직자 분들은 회사마다 다른 직책이 비슷한 역할을 수행해야 ...
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and much more.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.