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ESC-21FALL

ESCFALL

Plan

Date Main Session(Machine Learning)
Every Thur.
Data Analysis Session
Sat. (Bi-weekly)
Week 1
(9/2, 9/4)
Overall Introduction & Recreation
: 간사(김정규) & 부회장(박웅준)
빅콘 중간발표
Week 2
(9/9)
Kernel Smoothing Methods (ESL 6)
발제자 : 이규민 & 김수연
Week 3
(9/16, 9/18)
Surport Vector Machines (ESL 12)
발제자 : 김수연 & 이재현
빅콘 파이널 발표
(9/23) Korean Thanksgiving Day
Week 4
(9/30, 10/2)
Splines (ESL 5)
발제자 : 오현도 & 박상용
Alumni 연사특강
Midterm Exam
Week 5
(10/28, 10/30)
Tree & Boosting (ESL 9, 10)
발제자 : 안현준 & 서상수
Alumni 연사특강
Week 6
(11/4)
Bagging & Random Forest(ESL 8.7, 15)
발제자 : 고정민 & 오다건
Week 7
(11/11, 11/13)
EM Algorithm & Mixture model (ESL 8.5, )
발제자 : 이규민 & 오현도
Alumni 연사특강
Week 8
(11/18)
Final Project 중간발표
Week 9
(11/25)
Final Project 최종발표
Final Exam and The End of Semester

Session Youtube Link

[ESC 2021-FALL] 210902 Week1 - Overview
https://youtu.be/7PSozlNvlTs

[ESC 2021-FALL] 210909 Week2 - Kernel Smoothing Methods
https://www.youtube.com/watch?v=P0fd5Lb5STU

[ESC 2021-FALL] 210916 Week3 - Support Vector Machine
https://youtu.be/MaHXfJkLeOY

[ESC 2021-FALL] 210930 Week4 - Spline, RKHS
https://youtu.be/jRb2CPQFxI0

학술부 세션 영상 링크

[ESC 2021-FALL 학술부] 21097 Week2 - kernel smoothing method
https://youtu.be/wVYka9PYlJk

[ESC 2021-FALL 학술부] 210914 Week3 - SVM
https://youtu.be/MHLfosE7SKk

[ESC 2021-FALL 학술부] 211026 Week5 - Tree & Boosting
https://youtu.be/rZgHGqqFWbA

교재

An Introduction to Statistical Learning(G. James, 외)
The Elements of Statistical Learning(T. Hastie 외)
Applied Multivariate Statistical Analysis(W. Hardle 외)

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