강좌 상세 내용
머신러닝 알고리즘 무료 English (en)
모집인원1,000명
수강대상전체
수강신청기간2022-11-01 ~ 2023-12-31
학습기간2022-11-01 ~ 2023-12-31
결제여부무료
수강승인방법자동 승인
강좌 소개
In this course you will:
a) understand the naïve Bayesian algorithm.
b) understand the Support Vector Machine algorithm.
c) understand the Decision Tree algorithm.
d) understand the Clustering.
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 | Naïve Bayes |
| Week 2 | Support Vector Machine |
| Week 3 | Decision Tree |
| Week 4 | Clustering |
문의: 성균관대학교 교무처 교육개발센터 (Center for Teaching & Learning)
강의영상 미리보기
미리보기 동영상이 존재하지 않습니다.
과정 소개
This specialization understands the machine learning algorithms needed to understand and implement recommender systems. To this end, the content of the class is conducted in the form of theory, quizzes, and assignments. This specialization consists of three modules:
