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====== Probabilistic Graphical Model ======

[[https://class.coursera.org/pgm-003/lecture|課程網站 : Probabilistic Graphical Model]]

====== 討論方式 ======
  *每週會開一頁Hackpad，讓大家可以共同編輯閱讀時想到的問題和解答。每週也會有一次討論會，由同學自願幫大家簡單介紹課程大綱和心得，同時帶大家檢討Hackpad未完成的問題。
  *時間：12:00~14:00
  *地點：R301
  [[https://hackpad.com/PGM-Week-1-VbZFjPDzwfI|week 1 Hackpad]]

====== Schedule ======
^Topic^Week^Meeting Time^
|Introduction and Overview |(Week 1)|7-11 |
|Bayesian Network Fundamentals |(Week 1)|:::|
|Template Models |(Week 1)|:::|
|ML-class Octave Tutorial |(Week 1, Optional)|:::|
|Structured CPDs |(Week 2)| |
|Markov Network Fundamentals |(Week 2)| |
|Representation Wrapup: Knowledge Engineering| (Week 3)| |
|Inference: Belief Propagation, Part 1 |(Week 3)| |
|Inference: Belief Propagation, Part 2 |(Week 4)| |
|Inference: MAP Estimation, Part 1| (Week 4)| |
|Inference: MAP Estimation, Part 2| (Week 5)| |
|Inference: Sampling Methods |(Week 5)| |
|Inference: Temporal Models and Wrap-up|(Week 6)| |
|Decision Theory |(Week 6)| |
|ML-class Revision| (Week 6, Optional)| |
|Learning: Overview |(Week 6)| |
|Learning: Parameter Estimation in BNs| (Week 7)| |
|Learning: Parameter Estimation in MNs|(Week 7)| |
|Structure Learning| (Week 8)| |
|Learning With Incomplete Data| (Week 9)| |
|Learning: Wrapup |(Week 9)| |
|Summary| (Week 9)| |
  

====== Team Leader ======
^Name^Mail^
|張舒凱|b00902061@ntu.edu.tw|
|高瑞宗|fredericstgo@gmail.com|

====== Team Member ====== 

^Name^Mail^
|歐璨銘|b01902077@ntu.edu.tw|
|張天慈|b02902091@ntu.edu.tw|
|張志宏|b02902005@ntu.edu.tw|
|曹爗文|b02902030@ntu.edu.tw|
|朱瑤章|dswf65411@gmail.com|
|吳岳樺|b02901078@ntu.edu.tw|
|陳均豪|b99202064@ntu.edu.tw|
|林傳恩|b01902033@ntu.edu.tw|
|賴建霖|b00902093@ntu.edu.tw|
|賴至得|b01902067@ntu.edu.tw| 
|馮銘漢|b00902001@ntu.edu.tw|
|高瑞宗|fredericstgo@gmail.com|
|張舒凱|b00902061@ntu.edu.tw|

====== Weekly Progress ====== 
  *Week1 (7/6~7/12)
    -Group meeting
    -Coursera Progress :

mslab

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