Personal Information
Entreprise/Lieu de travail
Korea Korea, South
Profession
M.D.
Secteur d’activité
Medical / Health Care / Pharmaceuticals
Mots-clés
medicine
medical informatics
health informatics
electronic health record
electronic medical record
ehr
emr
ontology
k-fold cross-validation
sequestered (unseen) test dataset
the bias-variance trade-off
overfitting
validation
prediction modeling
grammar of graphics
ggplot2
json
odbc
omop
common data model
data visualization
database
sql
r
Tout plus
- Présentations
- Documents
- Infographies
Causal Inference : Primer (2019-06-01 잔디콘)
Minho Lee
•
il y a 4 ans
Interpretable deep learning for healthcare
NAVER Engineering
•
il y a 6 ans
서비스 기획자를 위한 데이터분석 시작하기
승화 양
•
il y a 6 ans
Graph Databases: Trends in the Web of Data
Marko Rodriguez
•
il y a 13 ans
Multi-Relational Graph Structures: From Algebra to Application
Marko Rodriguez
•
il y a 14 ans
boosting 기법 이해 (bagging vs boosting)
SANG WON PARK
•
il y a 6 ans
Big data 시대의 통계학
Jae-kwang Kim
•
il y a 6 ans
틀리지않는법
건웅 문
•
il y a 6 ans
알아두면 쓸데있는 신기한 강화학습 NAVER 2017
Taehoon Kim
•
il y a 6 ans
General Tips for participating Kaggle Competitions
Mark Peng
•
il y a 8 ans
Understanding deep learning requires rethinking generalization (2017) 2 2(2)
정훈 서
•
il y a 7 ans
Understanding deep learning requires rethinking generalization (2017) 1/2
정훈 서
•
il y a 7 ans
(2017/06)Practical points of deep learning for medical imaging
Kyuhwan Jung
•
il y a 6 ans
Medical Ai perspectives
Namkug Kim
•
il y a 6 ans
Explaining the idea behind automatic relevance determination and bayesian interpolation
Florian Wilhelm
•
il y a 8 ans
Applied Deep Learning 11/03 Convolutional Neural Networks
Mark Chang
•
il y a 7 ans
현시대인공지능기술의고찰
상호 이
•
il y a 6 ans
공간정보아카데미 QGIS 기초 (2017.5)
Sungjin Kang
•
il y a 6 ans
ISO 20428 Intro
Soo-Yong Shin
•
il y a 6 ans
인공지능은 의료를 어떻게 혁신할 것인가 (ver 2)
Yoon Sup Choi
•
il y a 7 ans