Personal Information
Organization / Workplace
San Francisco Bay Area, California United States
Occupation
Data Scientist
Industry
Technology / Software / Internet
Website
penguinkang.com
About
Byungkyu (Jay) Kang received a Ph.D. in Computer Science in March 2016, and currently holds a data scientist position at Intuit. Before joining Intuit, he also worked as a visiting research scholar at the IBM Thomas J. Watson Research Center in New York. His current focuses revolve around data science and is particularly interested in artificial intelligence, data mining and visualization, and human-centered computing (HCI). His research on Intelligent User Interfaces focuses on modeling, identifying and recommending reliable, high-quality information on social media. His work has been supported by the National Science Foundation and the U.S. Army Research Laboratory. He received the Best P.
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Presentations
(2)Likes
(46)논문리뷰: Deep Neural Networks for YouTube Recommendations
keunbong kwak
•
6 years ago
Tutorial on Deep Learning in Recommender System, Lars summer school 2019
Anoop Deoras
•
4 years ago
사이킷런 최신 변경 사항 스터디
Haesun Park
•
5 years ago
[261] 실시간 추천엔진 머신한대에 구겨넣기
NAVER D2
•
8 years ago
Wasserstein GAN 수학 이해하기 I
Sungbin Lim
•
7 years ago
Unsupervised Clickstream Clustering for User Behavior Analysis CHI2016
Hyunjeong Lee
•
7 years ago
Jupyter notebook 디버깅 그리고 qtconsole연결하기
은수 박
•
5 years ago
딥러닝 자연어처리 - RNN에서 BERT까지
deepseaswjh
•
5 years ago
Optimization for Deep Learning
Sebastian Ruder
•
6 years ago
Matching networks for one shot learning
Kazuki Fujikawa
•
7 years ago
자습해도 모르겠던 딥러닝, 머리속에 인스톨 시켜드립니다.
Yongho Ha
•
6 years ago
Applying deep learning to medical data
Hyun-seok Min
•
6 years ago
RLCode와 A3C 쉽고 깊게 이해하기
Woong won Lee
•
6 years ago
Python과 Tensorflow를 활용한 AI Chatbot 개발 및 실무 적용
Susang Kim
•
6 years ago
파이썬과 케라스로 배우는 강화학습 저자특강
Woong won Lee
•
6 years ago
Tensorflow for Deep Learning(SK Planet)
Tae Young Lee
•
6 years ago
데이터를 얻으려는 노오오력
Youngjae Kim
•
6 years ago
Spark Day 2017 Machine Learning & Deep Learning With Spark
SangHoon Lee
•
6 years ago
Sketching Data with T-Digest In Apache Spark: Spark Summit East talk by Erik Erlandson
Spark Summit
•
7 years ago
Deep generative model.pdf
Hyungjoo Cho
•
7 years ago
Creating AnswerBot with Keras and TensorFlow (TensorBeat)
Avkash Chauhan
•
7 years ago
Past, present, and future of Recommender Systems: an industry perspective
Xavier Amatriain
•
8 years ago
Topic Modeling for Learning Analytics Researchers LAK15 Tutorial
Vitomir Kovanovic
•
9 years ago
Logistic Regression Demystified (Hopefully)
Gabriele Tolomei
•
8 years ago
Promoting Positive Post-click Experience for In-Stream Yahoo Gemini Users
Mounia Lalmas-Roelleke
•
8 years ago
Unfolding - A Library for Interactive Maps and Geovisualizations
Till Nagel
•
10 years ago
Spark은 왜 이렇게 유명해지고 있을까?
KSLUG
•
9 years ago
Node.js 기본
Han Jung Hyun
•
10 years ago
[오픈소스컨설팅]Subversion vs git - 참을 수 없는 간단함
Ji-Woong Choi
•
9 years ago
About Partisan Sharing at COSN 2014
Jisun An
•
9 years ago
Personal Information
Organization / Workplace
San Francisco Bay Area, California United States
Occupation
Data Scientist
Industry
Technology / Software / Internet
Website
penguinkang.com
About
Byungkyu (Jay) Kang received a Ph.D. in Computer Science in March 2016, and currently holds a data scientist position at Intuit. Before joining Intuit, he also worked as a visiting research scholar at the IBM Thomas J. Watson Research Center in New York. His current focuses revolve around data science and is particularly interested in artificial intelligence, data mining and visualization, and human-centered computing (HCI). His research on Intelligent User Interfaces focuses on modeling, identifying and recommending reliable, high-quality information on social media. His work has been supported by the National Science Foundation and the U.S. Army Research Laboratory. He received the Best P.
Tags
crowdsource
user study
evaluation
experiment
hci
usability
real-time
visualization
streaming
media art
framework
visual arts
social media
twitter
tweet
See more