Kwangseob Kim
3 SlideShares 43 Followers 33 Followings
Personal Information
Organization / Workplace
Seongnam, Gyeonggi-do, Korea Korea, South
Occupation
Research Engineer
Industry
Technology / Software / Internet
About
Experienced Software Engineer with a demonstrated history of working in the internet industry. Skilled in Python, Recommender Systems, Handwriting Recognition, C++, and Pattern Recognition and Machine Learning. Strong engineering professional with a 공학 석사
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python pycon recommendersystem applicationserver pyconkorea
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Presentations

(3)

TOROS: Python Framework for Recommender System

7 years ago • 2605 Views

[PYCON Korea 2018] Python Application Server for Recommender System

5 years ago • 758 Views

[PYCON Korea 2018] Python Application Server for Recommender System

5 years ago • 2000 Views

Likes

(19)
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Correcting Popularity Bias by Enhancing Recommendation Neutrality

Toshihiro Kamishima • 9 years ago

Approximate nearest neighbor methods and vector models – NYC ML meetup

Erik Bernhardsson • 8 years ago

20150212 c++11 features used in crow

Jaeseung Ha • 9 years ago

Big Ideias about Spotify Culture

André Faria Gomes • 9 years ago

[1A7]Ansible의이해와활용

NAVER D2 • 9 years ago

Social Recommendation

gu wendong • 14 years ago

Java 초보자를 위한 hadoop 설정

HyeonSeok Choi • 10 years ago

Machine learning @ Spotify - Madison Big Data Meetup

Andy Sloane • 9 years ago

H3 2011 파이썬으로 클라우드 하고 싶어요_분산기술Lab_하용호

KTH, 케이티하이텔 • 11 years ago

Large-scale Recommendation Systems on Just a PC

Aapo Kyrölä • 10 years ago

Spark 의 핵심은 무엇인가? RDD! (RDD paper review)

Yongho Ha • 9 years ago

Graph Databases in Python (PyCon Canada 2012)

Javier de la Rosa • 11 years ago

Music Recommendations at Scale with Spark

Chris Johnson • 9 years ago

Collaborative Filtering at Spotify

Erik Bernhardsson • 11 years ago

Deview RecoPick팀 AWS에서 추쳔 구현하기

Chaehyun Lee • 10 years ago

SVD and the Netflix Dataset

Ben Mabey • 15 years ago

Crab: A Python Framework for Building Recommender Systems

Marcel Caraciolo • 12 years ago

What Would Steve Do? 10 Lessons from the World's Most Captivating Presenters

HubSpot • 11 years ago

Music Recommendation Tutorial

Oscar Celma • 16 years ago
Personal Information
Organization / Workplace
Seongnam, Gyeonggi-do, Korea Korea, South
Occupation
Research Engineer
Industry
Technology / Software / Internet
About
Experienced Software Engineer with a demonstrated history of working in the internet industry. Skilled in Python, Recommender Systems, Handwriting Recognition, C++, and Pattern Recognition and Machine Learning. Strong engineering professional with a 공학 석사
Tags
python pycon recommendersystem applicationserver pyconkorea
See more