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Korea Korea, South
Occupation
Data Engineer
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Technology / Software / Internet
Website
github.com/freepsw
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See more
- Presentations
- Documents
- Infographics
boosting 기법 이해 (bagging vs boosting)
SANG WON PARK
•
6 years ago
내가 이해하는 SVM(왜, 어떻게를 중심으로)
SANG WON PARK
•
6 years ago
순환신경망(Recurrent neural networks) 개요
Byoung-Hee Kim
•
7 years ago
Apache kafka 모니터링을 위한 Metrics 이해 및 최적화 방안
SANG WON PARK
•
5 years ago
Design cube in Apache Kylin
Yang Li
•
9 years ago
Applied Deep Learning 11/03 Convolutional Neural Networks
Mark Chang
•
7 years ago
Apache Ignite vs Alluxio: Memory Speed Big Data Analytics
DataWorks Summit
•
6 years ago
디지털 트랜스포메이션의 이해와 도입 사례 - Understanding of digital transformation and examples (public) 2020.06.24
Hakyong Kim
•
3 years ago
OLAP for Big Data (Druid vs Apache Kylin vs Apache Lens)
SANG WON PARK
•
7 years ago
Coursera Machine Learning (by Andrew Ng)_강의정리
SANG WON PARK
•
6 years ago
Rule Engine Evaluation for Complex Event Processing
Chandra Divi
•
7 years ago
Making Apache Spark Better with Delta Lake
Databricks
•
4 years ago
Introduction to XGboost
Shuai Zhang
•
7 years ago
Machine Learning Foundations (a case study approach) 강의 정리
SANG WON PARK
•
6 years ago
코드로 이해하는 Back_propagation(cs231n)
SANG WON PARK
•
6 years ago
Apache kafka performance(throughput) - without data loss and guaranteeing data order
SANG WON PARK
•
6 years ago
Code로 이해하는 RNN
SANG WON PARK
•
7 years ago
Reinforcement learning v0.5
SANG WON PARK
•
7 years ago
Rancher Simple User Guide
SANG WON PARK
•
6 years ago