Byungkyu (Jay) Kang

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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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About

Byungkyu (Jay) Kang

Presentations

Ieee visap bkang

Evaluation and User Study in HCI

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논문리뷰: Deep Neural Networks for YouTube Recommendations

Tutorial on Deep Learning in Recommender System, Lars summer school 2019

사이킷런 최신 변경 사항 스터디

[261] 실시간 추천엔진 머신한대에 구겨넣기

Wasserstein GAN 수학 이해하기 I

Unsupervised Clickstream Clustering for User Behavior Analysis CHI2016

Jupyter notebook 디버깅 그리고 qtconsole연결하기

딥러닝 자연어처리 - RNN에서 BERT까지

Optimization for Deep Learning

Matching networks for one shot learning

자습해도 모르겠던 딥러닝, 머리속에 인스톨 시켜드립니다.

Applying deep learning to medical data

RLCode와 A3C 쉽고 깊게 이해하기

Python과 Tensorflow를 활용한 AI Chatbot 개발 및 실무 적용

파이썬과 케라스로 배우는 강화학습 저자특강

Tensorflow for Deep Learning(SK Planet)

데이터를 얻으려는 노오오력

Spark Day 2017 Machine Learning & Deep Learning With Spark

Sketching Data with T-Digest In Apache Spark: Spark Summit East talk by Erik Erlandson

Deep generative model.pdf

Creating AnswerBot with Keras and TensorFlow (TensorBeat)

Past, present, and future of Recommender Systems: an industry perspective

Topic Modeling for Learning Analytics Researchers LAK15 Tutorial

Logistic Regression Demystified (Hopefully)

Promoting Positive Post-click Experience for In-Stream Yahoo Gemini Users

Unfolding - A Library for Interactive Maps and Geovisualizations

Spark은 왜 이렇게 유명해지고 있을까?

Node.js 기본

[오픈소스컨설팅]Subversion vs git - 참을 수 없는 간단함

About Partisan Sharing at COSN 2014