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[수비니움의 머신러닝 튜토리얼] 1강 기본용어편

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수비니움의 머신러닝 튜토리얼 1강 강의자료입니다.

강의 링크 : https://www.youtube.com/watch?v=wOUZ9qQvciY&t=211s

더 많은 정보는 아래를 참고해주세요.

- 블로그 : [안수빈의 블로그](https://subinium.github.io)
- 페이스북 : [어썸너드 수비니움](https://www.facebook.com/ANsubinium)
- 유튜브 : [수비니움의 코딩일지](https://www.youtube.com/channel/UC8cvg1_oB-IDtWT2bfBC2OQ

Published in: Data & Analytics
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[수비니움의 머신러닝 튜토리얼] 1강 기본용어편

  1. 1. 1강. 기본 용어편 수비니움의 머신러닝 튜토리얼 , ✓ ✓ ✓ 1
  2. 2. I. 강의 소개 2
  3. 3. 강의 목표 . 3
  4. 4. 강의 계획 ✓ 3 ✓ 2 4 ✓ 2 4 ✓ 8 4
  5. 5. II. 인공지능의 역사 5
  6. 6. II-1. 인공지능의 시작 ✓ ( . a X ✓46? 2 96C! 1 ✓ a ( ✓ B 6A 5 ( T ) ✓ ( , . I 0 : 6? A 9?? 9A 9$ ✓ " 6
  7. 7. II-2. 3번의 AI붐 1차 붐 : 1957 ~ 1974 ✓ ✓ ✓ :+ ✓ 7
  8. 8. 2차 붐 : 1980 ~ 1987 ✓ : /4 4, 4 / / 44 0/ 44 4, , ✓ ✓ ✓ $$ $$$ $$$ ✓ 8
  9. 9. 9
  10. 10. 3차 붐 : ~ now 3가지 이유 2 : 6AA: 2 :BA N ✓1 1) 3 ( eK D : B ✓ g ( g i ✓ 6 6B N g c Ta ( I ✓GX f c Ta ✓16 A .6 A N h P U 10
  11. 11. 인공지능이란? ✓ 인공지능의 강약? ✓ ✓ 11
  12. 12. 12
  13. 13. III. 머신러닝으로 할 수 있는 것 13
  14. 14. 머신러닝이란? — ✓ ✓ ✓ 14
  15. 15. 어떤게 있을까 15
  16. 16. III-1. 지도학습 ✓ - ) - ✓ - ) / ( , 16
  17. 17. 분류 : Classification ✓ ( ✓ , ✓) , 회귀 : Regression ✓ ) , ( 17
  18. 18. III-2. 비지도학습 (자율 학습) ✓ ( ✓ ) ✓ ✓ 18
  19. 19. III-3. 강화학습 ✓ , ✓ ✓ 2 19
  20. 20. 정리 ✓ ✓ : ✓ ✓ ✓ 20
  21. 21. REFERENCE , , / 21

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