Personal Information
Entreprise/Lieu de travail
Jongro-gu, Seoul, Korea Korea, South
Profession
Manager — KYOBO Life Insurance
Secteur d’activité
Finance / Banking / Insurance
À propos
- Over 10 years of risk management experience in financial industry; specialized in statistical analysis
- Technical expertise in applying analytical tools i.e., SAS and VBA to daily business cases
- Good knowledge in finance and investment arena; CFA charterholder
- Self-learner eager for new knowledge and creativity
- Présentations
- Documents
- Infographies
(Qraft)naver pitching
형식 김
•
il y a 5 ans
20150306 파이썬기초 IPython을이용한프로그래밍_이태영
Tae Young Lee
•
il y a 9 ans
금융 데이터 이해와 분석 PyCon 2014
Seung-June Lee
•
il y a 9 ans
Feature Engineering
Sri Ambati
•
il y a 6 ans
Python+numpy pandas 1편
Yong Joon Moon
•
il y a 7 ans
Ideas on Machine Learning Interpretability
Sri Ambati
•
il y a 6 ans
[week12] D3.js_Basic
neuroassociates
•
il y a 8 ans
Working With Big Data
Seth Familian
•
il y a 8 ans
[빅데이터 컨퍼런스 전희원]
Jayoung Lim
•
il y a 12 ans
모듈형 패키지를 활용한 나만의 기계학습 모형 만들기 - 회귀나무모형을 중심으로
r-kor
•
il y a 7 ans
머신러닝의 개념과 실습
Byoung-Hee Kim
•
il y a 7 ans
Forecasting time series for business and operations data: A tutorial
Colleen Farrelly
•
il y a 6 ans
Deep vs diverse architectures for classification problems
Colleen Farrelly
•
il y a 6 ans
2012 빅데이터 big data 발표자료
Wooseung Kim
•
il y a 11 ans
[2A4]DeepLearningAtNAVER
NAVER D2
•
il y a 9 ans
1.Introduction to Python and TensorFlow
Haesun Park
•
il y a 7 ans
[PYCON KOREA 2017] Python 입문자의 Data Science(Kaggle) 도전
Mijeong Park
•
il y a 6 ans
Python 표준 라이브러리
용 최
•
il y a 8 ans
5 Ways Your Sales Team Will Make the Next Webinar a Success
Marketo
•
il y a 8 ans
Paris ML meetup
Yves Raimond
•
il y a 8 ans