September 2024
Beginner to intermediate
364 pages
8h 27m
Korean
Content preview from 머신러닝 인터뷰 실무 가이드
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28
머신러닝 인터뷰 실무 가이드
를 들면 이력서 작업이 필요할 때
2
장을 참조하면 되고, 다른 장도 같은 방법으로 활용할 수
있습니다. 이렇게 개요를 살펴보았으니, 이제 다음 내용으로 넘어가겠습니다.
TIP
이 책의 관련사이트인
https
://
susanshu
.
substack
.
com
는 추가 콘텐츠와 보조 자료 등을 제공합니다.
1
.
2
머신러닝과 데이터 사이언스 직책에 관한 간략한 역사
먼저 머신러닝 관련 직책의 간략한 역사를 살펴보겠습니다. 제가 이 절부터 시작하기로 한
이유는 ‘데이터 사이언티스트’ 직책에 대한 몇 가지 오해를 불식시키고 머신러닝 관련 직책
이 이토록 다양한 이유에 대해 설명하기 위해서입니다. 이러한 역사를 이해하고 나면 어떤
직책을 여러분의 목표로 삼아야 할지 더 잘 알 수 있습니다. 머신러닝 엔지니어
Machine
Learning
Engineer
(
MLE
), 프로덕트 데이터 사이언티스트
Product
Data
Scientist
,
MLOps
엔지니어
Machine
Learning
Operations
Engineer
등 수많은 직책 때문에 혼란스러웠던 경험이 있다면 이 절이 도움이 될 겁니
다.
머신러닝 기법은 새로운 것이 아니며,
1985
년 데이비드 애클리
David
H
.
Ackley
, 제프리 힌튼
Geoffrey
E
.
Hinton
, 테렌스 세즈노프스키 ...
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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.