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System Health and Reliability Lab.

Lecture

Lecture

KSME Winter School Lecture Note

작성자전체관리자  조회수208 Date2018-01-22
1_Machine Learning Basics.pdf [4,459.1 KB]
2_Supervised Learning.pdf [2,427 KB]
3_Unsupervised learning.pdf [3,681.3 KB]

1_Machine Learning Basics
2_Supervised Learning
3_Unsupervised Learning

 


수정된 PPT 자료입니다. 총 3개의 파일로 첨부하였으며 첨부된 파일 내용은 아래와 같습니다.

상세 내용은 첨부파일을 참고바랍니다.

 

 

1_Machine Learning Basics

① Brief History and Key Concept

② Examples in Mechanical Engineering 

 

2_Supervised Learning

① Linear Model for Regression

② Linear Model for Classification

③ Support Vector Machine (SVM)

④ Decision Tree

 

3_Unsupervised Learning

① Principal Component Analysis (PCA)

② K-Means Clustering

③ Hidden Markov Model (HMM)

 

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