[Day 2] Machine learning course by caltech 끝

 안녕하세요!
오늘 공부한 거 요약하자면:


첫 번째, Abu-Mostafa 교수님의 나머지 강의를 공부했는데 오늘은 메모도 간단하게 해 봤다


  • 강의 12 - 정규화 

  • 강의 13 - 검증

  • 강의 14 - SVM

  • 강의 15 - Kernel methods
이번엔 수학이 너무 많아서 메모 많이 안 했다

  • 강의 16 - Radial basis functions

  • 강의 17 - Three learning principles

  • 강의 18 - 결론 - 교수님이 그냥 강의의 곤텐츠 요약하셔서 메모 안 했다

슬프하게 ~ 강의가 끝났다 ~ 그래도 그런 높은 수준 (caltech 수준)의 강의를 들을 기회가 있어서 기쁘다.

두 번째, 그 Master statistics with Python 거 왜 하냐면 test statistics에 대해 배워 암가해 보기 위해서다.

결국엔 ~ 습득했다 믿고 있다. 앞으로 지식을 활용해야 한다! 또한, 아래 사진도 봤다.

그리고, 챗GPT 통해, 이렇게 간단히 요약했다


오늘 이상입니다.
감사합니다. 내일 뵐게요! 



























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