머신러닝 기초 무료 English (en)
모집인원1,000명
수강대상전체
수강신청기간2022-11-01 ~ 2027-03-01
학습기간2022-11-01 ~ 2027-03-01
결제여부무료
수강승인방법자동 승인

In this course, you will:
a) understand the basic concepts of machine learning.
b) understand a typical memory-based method, the K nearest neighbor method.
c) understand linear regression.
d) understand model analysis.
Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.


- 김재광 성균관대학교 소프트웨어학과 교수

| 주 (Week) | 학습 내용 (Contents) |
| Week 1 | The basic concepts of machine learning |
| Week 2 | The k-Nearest Neighbors |
| Week 3 | Linear Regression |
| Week 4 | Logistic Regression |
문의: 성균관대학교 교무처 교육개발센터 (Center for Teaching & Learning)