Personal Information
Entreprise/Lieu de travail
Korea Korea, South
Profession
Data Engineer
Secteur d’activité
Technology / Software / Internet
Site Web
github.com/freepsw
Mots-clés
apache kafka
aws emr
machine learning
mlops
dataops
tpc-ds
snowflake
redshift
cloud dw
cost optimization
producer
consumer
benchmark
deep learning
docker
rancher
hadoop
onnx
kserve
kubeflow
seldom
tensor rt
feast
mlflow
katib
dbt
data scientist
ml engineer
data engineer
ai model deployment
ai model serving
ai model training
data preparation
mlpipeline
cloud data warehouse
csp
etl
data mart
warehouse
data bricks
metric store
elt
modern data stack
snowpark
bigquery
cost effective
lake house
data lake
data pipeling
model pipeling
model optimization
data quality
feature engineering
model training
model serving
ai
big data
performance
ganglia
jupyter notebook
zeppelin
apache spark
broker
jmx
metrics
monitoring
latency
spark
alluxio
redis
dcpmm
apache kafka performance
apache kafka metrics
adaboost
gbm
xgboost
ensemble
boosting
coursera
throughput
ansible
svm
support vector machine
kernel
cs231n
python
back propagation
druid
olap
apache kylin
apache lens
reinforcement learning
rnn
bptt
Tout plus
Présentations
(20)J’aime
(30)Trends_of_MLOps_tech_in_business
SANG WON PARK
•
il y a 1 an
Hadoop eco story 이해
SANG WON PARK
•
il y a 7 ans
Code로 이해하는 RNN
SANG WON PARK
•
il y a 7 ans
Reinforcement learning v0.5
SANG WON PARK
•
il y a 7 ans
OLAP for Big Data (Druid vs Apache Kylin vs Apache Lens)
SANG WON PARK
•
il y a 7 ans
Rancher Simple User Guide
SANG WON PARK
•
il y a 6 ans
코드로 이해하는 Back_propagation(cs231n)
SANG WON PARK
•
il y a 6 ans
내가 이해하는 SVM(왜, 어떻게를 중심으로)
SANG WON PARK
•
il y a 6 ans
Coursera Machine Learning (by Andrew Ng)_강의정리
SANG WON PARK
•
il y a 6 ans
Apache kafka performance(throughput) - without data loss and guaranteeing data order
SANG WON PARK
•
il y a 6 ans
Machine Learning Foundations (a case study approach) 강의 정리
SANG WON PARK
•
il y a 6 ans
Apache kafka 모니터링을 위한 Metrics 이해 및 최적화 방안
SANG WON PARK
•
il y a 5 ans
Cloud dw benchmark using tpd-ds( Snowflake vs Redshift vs EMR Hive )
SANG WON PARK
•
il y a 2 ans
Cloud DW technology trends and considerations for enterprises to apply snowflake
SANG WON PARK
•
il y a 1 an
The Data tech for AI based innovation(기업의 AI기반 혁신을 지원하는 데이터 기술)
SANG WON PARK
•
il y a 1 an
Apache kafka performance(latency)_benchmark_v0.3
SANG WON PARK
•
il y a 3 ans
boosting 기법 이해 (bagging vs boosting)
SANG WON PARK
•
il y a 6 ans
Optane DC Persistent Memory(DCPMM) 성능 테스트
SANG WON PARK
•
il y a 3 ans
AWS EMR Cost optimization
SANG WON PARK
•
il y a 2 ans
Understanding of Apache kafka metrics for monitoring
SANG WON PARK
•
il y a 3 ans
디지털 트랜스포메이션의 이해와 도입 사례 - Understanding of digital transformation and examples (public) 2020.06.24
Hakyong Kim
•
il y a 3 ans
Making Apache Spark Better with Delta Lake
Databricks
•
il y a 4 ans
[AI & DevOps] BigData Scale Production AI 서비스를 위한 최상의 플랫폼 아키텍처
hoondong kim
•
il y a 5 ans
Rule Engine Evaluation for Complex Event Processing
Chandra Divi
•
il y a 7 ans
Apache Ignite vs Alluxio: Memory Speed Big Data Analytics
DataWorks Summit
•
il y a 6 ans
Introduction to XGboost
Shuai Zhang
•
il y a 7 ans
순환신경망(Recurrent neural networks) 개요
Byoung-Hee Kim
•
il y a 7 ans
Applied Deep Learning 11/03 Convolutional Neural Networks
Mark Chang
•
il y a 7 ans
Design cube in Apache Kylin
Yang Li
•
il y a 9 ans
SnappyData, the Spark Database. A unified cluster for streaming, transactions & interactive analytics
SnappyData
•
il y a 7 ans
Personal Information
Entreprise/Lieu de travail
Korea Korea, South
Profession
Data Engineer
Secteur d’activité
Technology / Software / Internet
Site Web
github.com/freepsw
Mots-clés
apache kafka
aws emr
machine learning
mlops
dataops
tpc-ds
snowflake
redshift
cloud dw
cost optimization
producer
consumer
benchmark
deep learning
docker
rancher
hadoop
onnx
kserve
kubeflow
seldom
tensor rt
feast
mlflow
katib
dbt
data scientist
ml engineer
data engineer
ai model deployment
ai model serving
ai model training
data preparation
mlpipeline
cloud data warehouse
csp
etl
data mart
warehouse
data bricks
metric store
elt
modern data stack
snowpark
bigquery
cost effective
lake house
data lake
data pipeling
model pipeling
model optimization
data quality
feature engineering
model training
model serving
ai
big data
performance
ganglia
jupyter notebook
zeppelin
apache spark
broker
jmx
metrics
monitoring
latency
spark
alluxio
redis
dcpmm
apache kafka performance
apache kafka metrics
adaboost
gbm
xgboost
ensemble
boosting
coursera
throughput
ansible
svm
support vector machine
kernel
cs231n
python
back propagation
druid
olap
apache kylin
apache lens
reinforcement learning
rnn
bptt
Tout plus