1141_Artificial Intelligence and Machine Learning_352361
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Course Intro

Course Resources

  • syllabus
  • Chap 1 Introduction
  • [錄] 09081420
  • [錄] 09081511
  • [錄] 09081612
  • Chap 2 Supervised Learning
  • Chap 3 Bayesian Decision Theory
  • [錄] 09151417
  • [錄] 09151510
  • [錄] 09151611
  • Chap 4 Parametric Methods
  • Chap 5 Multivariate Methods
  • [錄] 09221412
  • [錄] 09221514
  • [錄] 09221612
  • [錄] 10131411
  • [錄] 10131511
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  • class_trn
  • regress_trn
  • [錄] 10201415
  • [錄] 10201510
  • [錄] 10201610
  • First Examination 2025
  • Chap 6 Dimensionality Reduction_part1
  • [錄] 10271511
  • [錄] 10271610
  • [錄] 11031511
  • [錄] 11031610
  • [錄] 11031410
  • digits_data
  • [錄] 11101418
  • [錄] 11101511
  • [錄] 11101610
  • Chap 6 Dimensionality Reduction_part2
  • Chap 7 Clustering
  • [錄] 11171427
  • [錄] 11171511
  • [錄] 11171610
  • [錄] 11241422
  • [錄] 11241511
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  • Second Examination 2025
  • Chap 9 Decision Trees
  • [錄] 12011417
  • [錄] 12011510
  • [錄] 12011610
  • Chap 10 Linear Discrimination
  • [錄] 12081432
  • [錄] 12081510
  • [錄] 12081610
  • [錄] 12151416
  • [錄] 12151510
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  • Chap 14 Kernel Machines
  • [錄] 12221418
  • [錄] 12221512
  • [錄] 12221611
  • [錄] 12291417
  • [錄] 12291514
  • [錄] 12291614
  • Third Examination 2025
Teacher / 姚立德

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