September 2024
Beginner to intermediate
364 pages
8h 27m
Korean
Content preview from 머신러닝 인터뷰 실무 가이드
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34
머신러닝 인터뷰 실무 가이드
또는 ‘데이터 사이언티스트’라는 직함이 있는 직무에 지원했습니다. 다음 절에서 여러분의 관
심사와 기술에 적합한 기술과 역할에 대한 더 많은 예를 소개해 드리겠습니다.
연구 중심의 머신러닝 직무
서문에서 언급했듯이 이 책은 연구직보다는 머신러닝의 산업적인 응용 직무에 더 중점을 두고 있습니다. 다
음은 연구직에 대한 간략한 개요입니다.
요구 사항
대부분 박사 학위
직무
연구 수행, 새로운 알고리즘과 개선 사항 제시, 논문 작성, 학회 발표 등 학계의 학문적 직무와 유사합니
다. 구글 딥마인드의 연구원과 같은 업계 연구직이 학계의 연구직과 가장 큰 차이점은 (제가 알기로는) 강
의를 할 필요가 없다는 것입니다.
1
.
4
머신러닝 생애주기
업계에서는 머신러닝을 적용한 프로젝트가 궁극적으로 고객 경험을 향상시킬 것이라고 기대
합니다. 가령 사용자에게 더 관련이 높은 동영상, 뉴스, 소셜 미디어 포스트를 보여주는 것처
럼요. 업계에서 ‘고객’은 내부 고객을 의미하기도 합니다. 같은 회사나 조직에 있는 사람들 말
이죠. 예를 들어, 여러분의 팀은 수요 예측을 통해 물류 부서가 선적 일정을 보다 효율적으로
계획하도록 돕는 머신러닝 모델을 구축할 수 있습니다. 사용자가 내부에 있든 외부에 있든,
종단 간 머신러닝 제품을 구축하려면 많은 구성 요소가 ...
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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.