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Course summary

  • Type MOOC course
  • Period 2016.09.01 ~ 2016.10.12 6 week(s)
  • Learning Time Study freely
  • Course approval method Automatic approval
  • Certificate Issue Online
http://kaist.edwith.org/1609_machinelearning_1

Course period expired and you cannot take it anymore.

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Instructor Introduction

  • 문일철

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.