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Course summary

  • Type MOOC course
  • Period Always open
  • Learning Time Study freely
  • Course approval method Automatic approval
  • Certificate Issue Online
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Instructor Introduction

  • KAIST 산업및시스템공학과 문일철

    KAIST 산업 및 시스템 공학과 교수(2011.9~ )

Lecture plan

    1. 1. Motivations and Basics
      2. Fundamentals of Machine Learning
      3. Naïve Bayes Classifier
      4. Logistic Regression
      5. Support Vector Machine
      6. Training/Testing and Regulatization

Additional Info

**수료기준 : 진도율 100% 이상, 퀴즈 100점 만점 70점 이상
* 강좌 수료 기준 충족 시 수료증을 제공합니다:)