NCKU Curriculum Map
1. 2.
3.
STATISTICAL MACHINE LEARNING AND APPLICATIONS

Hۺ_Az˸mΡAHxs˸mqA21 @w ƼɼWɥNAӳoǸƥ禨AѻPwH欰_Q귽Cuέp Dzߡ]statistical machine learning^v]tF\hΩFѸơAHζiw ޳NAoǧ޳NwsxaΩѨM\hnBIgٻȤDApUl PwA|GwAqv/ֱ˨tΤإߡAHεoOβy ]ezΦ쪺PǥiHѦ Nate Silver uǹwv@ѡ^C ߲zǤDsH欰ǡCb߲zǻ줤AuέpDzߡv@O HP쭯ͪǪADn]bL߲zǬsh`Sw߲zDzzפ AֱjչH欰wCӡuέpDzߡvz׻PUا޳NA hUs̸DzΪƤRج[AHWiH欰Pפ{ѡA ózLإߨ餧欰wAݮi߲zǪѪΩʡC uέpDz߻PΡvD߲ztP欰ǻ줧Pǩҳ]puέp Dzߡvҵ{Aڭ̹wPǭ̭ײߧoҵ{AFHUؼСG 1.AѲέpDzߤzװ¦]p bias--?variance tradeoffAtraining error versus generalization error ^F 2.x`ΪέpDzߤk]p ridge regressionAlassoAclassification treeA boosting ^F 3.ϥ R {yӾz/ഫ/ıƸơAðezkC oҵ{eDnھڥ JamesAWittenAHastie P Tibshirani]2013^ guAn Introduction to Statistical Learning with Applications in Rv@ѶiW ]ѥi@̤UGhttp://www--?bcf.usc.edu/~gareth/ISL/^AӮѥD nDqǻPμƾǻ줧ǥͼgAe[\FuέpDzߡv P`κhAHΦpϥ R {XӰC bCg|pɪоǷiӳAe 2.5 pɷ|ۭuέp ߡvѤ¡A 1.5 pɫh|ۭ R {gоǡC ҵ{wjǥͭײߡAƪѬuέpǡv]p߲zPШ|έpǡAͪ έpǵ^ABL]differentiation^򥻤{ѡ]pp f(x) = 2x2+3x+1A άO g(x) = exp(x)@ɼƵ^C

Course Goal
A. Integration of science and quality of humanism.
B. Enhance logic and critical thinking.
C. Enhance psychology knowledge.
Course Principle Literacy and Competence
[Principle Literacy]
  • Society caring
  • [Competence]
  • Logical reasoning and critical thinking ability.
  • Courses of Recent Years
    Year/
    Semester
    Course
    Number
    Class
    Code
    Course Name
    (The name will link to the syllabus.)
    Credit Taught in English
    (Yes or No)
    Instructor
    0108/2 D842100 [PSY5000]STATISTICAL MACHINE LEARNING AND APPLICATIONS 3.0 N Huang, Po-Hsien
    0107/2 D842100 [PSY5000]STATISTICAL MACHINE LEARNING AND APPLICATIONS 3.0 N Huang, Po-Hsien
    0106/2 D842100 [PSY5000]STATISTICAL MACHINE LEARNING AND APPLICATIONS 3.0 N Huang, Po-Hsien
    0105/2 D842100 [PSY5000]STATISTICAL MACHINE LEARNING AND APPLICATIONS 3.0 N Huang, Po-Hsien
    0104/2 D842100 [PSY5000]STATISTICAL MACHINE LEARNING AND APPLICATIONS 3.0 N Huang, Po-Hsien