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  • Type MOOC course
  • Period Always open
  • hr Study freely
  • Course approval method Automatic approval

Instructor Introduction

  • 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

**인공지능 및 기계학습 개론 1과 2는 이어지는 내용으로, 본 강좌(개론1)를 수강한 후 개론 2를 수강하는 것을 추천합니다.

**수료기준 : 진도율 100% 이상, 퀴즈 100점 만점 70점 이상