1131_Artificial Intelligence and Machine Learning_335453
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Course Intro
Course Resources
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syllabus
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Chap 1 Introduction
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[錄] 09091419
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[錄] 09091511
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Chap 2 Supervised Learning
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[錄] 09161419
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[錄] 09161511
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[錄] 09161610
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[錄] 09231417
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[錄] 09231523
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[錄] 09231610
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Chap 3 Bayesian Decision Theory
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Chap 4 Parametric Methods
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[錄] 09301418
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[錄] 09301510
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[錄] 09301610
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Chap 5 Multivariate Methods
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[錄] 10071418
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[錄] 10071510
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[錄] 10071610
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Practice
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[錄] 10141415
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[錄] 10141510
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examination report format
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[錄] 10141611
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First Examination 2024
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Chap 6 Dimensionality Reduction_part1
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[錄] 10211417
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[錄] 10211511
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[錄] 10211610
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Chap 6 Dimensionality Reduction_part2
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[錄] 10281316
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[錄] 10281410
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[錄] 10281511
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[錄] 10281611
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[錄] 11041324
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[錄] 11041410
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[錄] 11041513
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[錄] 11041611
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digits_data
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Chap 7 Clustering
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[錄] 11111337
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[錄] 11111410
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[錄] 11111510
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[錄] 11111610
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[錄] 11181423
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[錄] 11181517
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[錄] 11181611
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Second Examination 2024
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[錄] 12021420
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[錄] 12021517
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[錄] 12021612
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Chap 9 Decision Trees
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[錄] 12091419
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[錄] 12091510
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[錄] 12091610
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Chap 10 Linear Discrimination
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[錄] 12161419
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[錄] 12161512
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[錄] 12161610
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Chap 14 Kernel Machines
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[錄] 12231419
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[錄] 12231510
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[錄] 12231612
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[錄] 12301422
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[錄] 12301510
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Third Examination 2024
Teacher / 姚立德