1111_Artificial Intelligence and Machine Learning_306218
Course Period：Now ~ Any Time
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Course Intro

Course Resources

  • syllabus
  • Chap 1 Introduction
  • [錄] 09121321
  • [錄] 09121410
  • [錄] 09121510
  • Chap 2 Supervised Learning
  • [錄] 09191316
  • [錄] 09191411
  • [錄] 09191511
  • Chap 3 Bayesian Decision Theory
  • [錄] 09261315
  • [錄] 09261423
  • [錄] 09261514
  • Chap 4 Parametric Methods
  • [錄] 10031320
  • [錄] 10031410
  • [錄] 10031510
  • Chap 5 Multivariate Methods
  • [錄] 10171320
  • [錄] 10171410
  • [錄] 10171548
  • [錄] 10241317
  • [錄] 10241413
  • [錄] 10241511
  • practice data 1
  • First Examination 2022
  • [錄] 11071326
  • [錄] 11071410
  • [錄] 11071511
  • Chap 6 Dimensionality Reduction_part1
  • [錄] 11141325
  • [錄] 11141410
  • [錄] 11141510
  • Chap 6 Dimensionality Reduction_part2
  • [錄] 11211321
  • [錄] 11211410
  • [錄] 11211510
  • [錄] 11281322
  • [錄] 11281410
  • [錄] 11281511
  • [錄] 12051322
  • [錄] 12051410
  • Second Examination 2022
  • Chap 7 Clustering
  • [錄] 12121321
  • [錄] 12121414
  • [錄] 12121510
  • Chap 9 Decision Trees
  • [錄] 12191320
  • [錄] 12191410
  • [錄] 12191510
  • Chap 10 Linear Discrimination
  • [錄] 12261321
  • [錄] 12261412
  • [錄] 12261511
  • Final Programming Exam
Teacher / 姚立德

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