Sanghyuk Chun

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Sanghyuk Chun is now M.S. Candidate at the Department of Electrical Engineering in KAIST (Korea Advanced Institude of Science and Technology), Korea. His major research interests include machine learning, data mining and system design. Currently he researches on biometric using ECG (Electrocardiography). He graduated KAIST with B.S. degree in the electrical engineering and management science department in February 2014, and worked as web server and front developer at web service company named IUM-SOCIUS in June 2012 to January 2013. http://sanghyuk.kaist.ac.kr/aboutMe

machine learning kaist e-book

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Sanghyuk Chun

Présentations

PAC Learning

K-means and GMM

Distance Metric Learning

Gradient descent method

Coordinate Descent method

Markov Chain Basic

Introduction to E-book

J’aime

파이썬 생존 안내서 (자막)

[221]똑똑한 인공지능 dj 비서 clova music

TOROS: Python Framework for Recommender System

Music Recommendations at Spotify

[NDC16] Effective Git

좋은 디자이너, 나쁜 프로젝트매니저, 이상한 개발자

프레젠테이션 기획, 80%

[261] 실시간 추천엔진 머신한대에 구겨넣기

Django, 저는 이렇게 씁니다.

영어 논문 작성법

How Google Works / 구글은 어떻게 일하는가 (Korean / 한국어 버전)

2014 Future of Cloud Computing - 4th Annual Survey Results

K-means, EM and Mixture models

도시행정에 데이터가 가져온 변화와 고민.빅데이터전문가협의회.서울시청.임성우과장

개발자와 영어 Why and how

실전 스타트업 데이터분석: 소셜데이팅 이음은 이렇게 한다

해외에서 일하며 느낀 것들

NDC 2013 이은석 - 게임 디렉터가 뭐하는 건가요

2013 10 guide_to_mobile_appui_20131028

대학원 신입생을 위한 연구 길잡이

내가 대학원에 들어왔을 때 알았더라면 좋았을 연구 노하우 (개정증보판) (UST 대학원 신입생 OT 강연)