About

안녕하세요

이 블로그는 Hugo 기반 블로그로, 주로 머신러닝과 개발 관련 포스트를 올릴 생각입니다.

제가 진행했던 프로젝트나 개인 공부에서 배운 내용들이 시간이 지나가면서 잊혀지는 것이 아쉽기도 해서

이를 기록으로 남겨 놓자는 목적과, 공유를 함으로써 조금이라도 관련 분야를 공부하시는 분들께 도움이 되고자 하는 목적이 있습니다.

혹시 글에서 부족한점이 있어서 조언해주실 것이 있거나, 궁금하신 점이 있다면 언제라도 제 메일(ash1151@ajou.ac.kr)로 연락해주시면 감사하겠습니다.

Education

• Ansan Dongsan Christian High School, Ansan, Gyeonggi, South Korea (Mar 2012 ~ Feb 2015)
• Department of e-Business, Ajou University(AU), Suwon, South Korea (Mar 2016 ~ Present)

Interest Fields

• Natural Language Processing
• Satellite Image Processing
• Embedding
• Linear Algebra
• Probability and Statistic
• Bayesian Statistic
• Data Visualization

Skils

• Programming
  • Python
  • R
  • Web (html, css, js (specially Vanila JS))
  • Java (specially Android)
  • C# (specially WPF)
  • Go
  • Octave
• ETC
  • Web Crawling

Research

• Ahn, S., Kang, J., & Park, S. (2017). What makes the difference between popular games and unpopular games? analysis of online game reviews from steam platform using word2vec and bass model. ICIC Express Letters, 11(12), 1729-1737.[link] [Google Scholar]
• Ahn, S., Ko, H., & Kang, J. (2021). Regularized Categorical Embedding for Effective Demand Forecasting of Bike Sharing System. In Data Science and Digital Transformation in the Fourth Industrial Revolution (pp. 179-193). Springer, Cham. [Google Scholar]