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Korea Korea, South
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Data Scientist
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Technology / Software / Internet
Tags
r
data
lean analytics
vanity metrics
metrics
hypothesis test
statistics
abtest
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기술용어
data mining
data cleansing
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Presentations
(12)Likes
(13)Big wins with small data. PredictionIO in ecommerce - David Jones
PAPIs.io
•
8 years ago
[Research] deploying predictive models with the actor framework - Brian Gawalt
PAPIs.io
•
8 years ago
Command Line으로 분석하는 사용자 패턴
JeongMin Kwon
•
8 years ago
넷플릭스의 문화 : 자유와 책임 (한국어 번역본)
Doran Hwang
•
8 years ago
NDC 2015. 한 그루 한 그루 심지 않아도 돼요. 생태학에 기반한 [야생의 땅: 듀랑고]의 절차적 생성 생태계
Imseong Kang
•
8 years ago
실리콘 밸리 데이터 사이언티스트의 하루
Jaimie Kwon (권재명)
•
9 years ago
Fin tech and Fraud Detection System
Mk Kim
•
9 years ago
PyData: The Next Generation
Wes McKinney
•
9 years ago
Spark 의 핵심은 무엇인가? RDD! (RDD paper review)
Yongho Ha
•
9 years ago
기획자는 무엇을 하는 사람일까?
GOODgle :)
•
12 years ago
Rakuten Business Model 2009
Bell Ja
•
14 years ago
Data Activation For (Not So Much) Dummies
Cory Treffiletti
•
11 years ago
Measuring User Engagement
Mounia Lalmas-Roelleke
•
10 years ago
Personal Information
Organization / Workplace
Korea Korea, South
Occupation
Data Scientist
Industry
Technology / Software / Internet
Tags
r
data
lean analytics
vanity metrics
metrics
hypothesis test
statistics
abtest
번역
기술용어
data mining
data cleansing
data wrangling
ethics
self-management
관리
quantifying-self
잉여력
strata
bayesian
measurement
csvkit
user pattern
command line
data analysis
data science
time-series
causalimpact
targeting
offering
metric
지표
린 분석
lean startup
See more