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

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Class Introduction

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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.

https://online.skku.edu/local/ubion/Asite/lib/image.php?img=184418632_1668649571_30019600.jpg

 

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- 김재광 성균관대학교 소프트웨어학과 교수 

 

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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)

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Classification
  • Category
    STEM (공학&과학) > AI & Data
  • Colleges & Schools
    College of Information and Communication Engineering, College of Computing and Informatics
Professor
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