
Machine Learning Basics Free English (en)
Recruiting People1,000 people
Target ClassALL
Enrollment Period11-01-2022 ~ 03-01-2027
Learning period11-01-2022 ~ 03-01-2027
Payment StatusFree
Approval MethodAutomatic Approval
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)
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:
-
Colleges & SchoolsCollege of Computing and Informatics
-
TopicsEngineering & Tech