# Intro

## Introduction

**DS503: 데이터 사이언스를 위한 기계학습** 수업에서는 2022년 봄학기 때부터 논문 리뷰 프로젝트를 시작합니다. 한 학기에 수강생 1명당 2편의 논문이 할당이 되어 리뷰를 남기게 됩니다. 본 리뷰는 인터넷 상에 한글로 포스팅되어 있지 않은 논문을 위주로 다루어, 최신 논문을 이해하는데 어려움을 겪는 딥러닝 입문자들에게 도움이 되는 것을 목표로 하고 있습니다.

또한, 동료 평가를 통하여 논문 리뷰 수준을 향상시킬 계획입니다.

작성 및 제출 방법과 관련해서는 [How to contribute](https://dsail.gitbook.io/isyse-review/how-to-contribute/how-to-contribute) 링크를 참고해주세요.

모든 자료는 <https://dsail.gitbook.io/isyse-review/>에서 확인할 수 있습니다.

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From 2022 Spring semester, we will upload reviews on recent deep learning papers as a course project of **DS503: Machine Learning For Data Science**. A student will need to write reviews on 2 papers. The papers should not have been reviewed or summarized elsewhere on the internet.

Also, we are going to improve the quality of paper review by peer evaluation.

Please refer to the following link [How to contribute](https://dsail.gitbook.io/isyse-review/how-to-contribute/how-to-contribute) to understand how to submit and write.

You can find the all the materials in <https://dsail.gitbook.io/isyse-review/> link.

## Course Information

### Instructor

**박찬영(Chanyoung Park)** : Assistant Professor, ISysE, KAIST [Page](http://dsail.kaist.ac.kr/professor/)

### Assistant

**인연준(Yeonjun In)** : Master student, ISysE, KAIST

**김기범(Kibum Kim)** : Master student, ISysE, KAIST


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