May 2020
Beginner to intermediate
952 pages
24h 11m
Korean
Content preview from 핸즈온 머신러닝(2판): 사이킷런, 케라스, 텐서플로 2를 활용한 머신러닝, 딥러닝 완벽 실무
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34
1
부
머신러닝
●
전통적인 방식으로는 해결 방법이 없는 복잡한 문제 : 가장 뛰어난 머신러닝 기법으로 해결 방법을 찾을
수 있습니다.
●
유동적인 환경 : 머신러닝 시스템은 새로운 데이터에 적응할 수 있습니다.
●
복잡한 문제와 대량의 데이터에서 통찰 얻기
1.3
애플리케이션 사례
구체적인 머신러닝 작업의 사례와 이를 위한 기술을 함께 살펴보겠습니다.
•
생산 라인에서 제품 이미지를 분석해 자동으로 분류하기: 이미지 분류 작업입니다. 일반적으로 합성곱 신
경망
convolutional
neural
network
(
CNN
,
14
장)을 사용하여 수행합니다.
•
뇌를 스캔하여 종양 진단하기 : 시맨틱 분할 작업입니다. 일반적으로
CNN
을 사용해 이미지의 각 픽셀을
분류합니다 (종양의 정확한 위치와 모양을 결정해야 합니다).
•
자동으로 뉴스 기사를 분류하기: 자연어 처리
natural
language
processing
(
NLP
) 작업입니다. 더 구체적으로 말
하면 텍스트 분류입니다. 순환 신경망
recurrent
neural
network
(
RNN
),
CNN
, 트랜스포머
Transformer
(
16
장 참
조)를 사용해 해결할 수 있습니다.
•
토론 포럼에서 부정적인 코멘트를 자동으로 구분하기 : 역시 텍스트 분류 작업입니다.
NLP
도구를 사용합
니다.
•
긴 문서를 자동으로 요약하기 : 텍스트 요약이라 불리는
NLP
의 한 분야입니다.
NLP
도구를 사용합니다.
•
챗봇
chatbot
또는 개인 비서 만들기 : 자연어 이해
natural
language
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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.