• Unsupervised Machine Learning (A)
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    SD234502 - Unsupervised Machine Learning
    Announcements
    Referensi
    W01 - Pendahuluan
    Material W01-1: Pendahuluan, tipe-tipe unspv learning
    Tugas Kelompok - Kamis, 28/08 jam 12:00 WIB
    Tugas individual menggantikan canceled meeting, deadline Jumat 19/08 jam 18:30 WIB
    W02 dan W03 Dimensionality reduction
    Materi 1 Dimensionality reduction
    Materi 2 PCA
    Materi 3 t-SNE
    Source tSNE
    Multidimensional scaling
    W04- Case Based
    Case Based (Feature Extraction) - Ekspresi Gen
    W05 - Association Rules
    Insight: Association rules
    W05 material
    Paper discussion
    Diskusi paper, 1 grup 1 submission
    W6 - Case Based Association Rules
    Latihan Association Rules
    LAB Assessment
    LAB ASSESSMENT MATA KULIAH UNSUPERVISED MACHINE LEARNING
    W09 - Clusterings
    W09 material
    Submit assignment di sini (OGOS)
    W10 - Guest Lecture
    Kuliah Tamu USML bersama Rahmat Hidayatullah, S.Stat. jam 10:15 - 12:15 WIB
    Link Zoom kuliah tamu
    W11 - K-Based Clustering (Lab Session)
    Exercise - Customer Segmentation
    W12 - DBSCAN
    W12 materials
    Python code
    Python code: dbscan01.ipynb
    Tugas berkelompok - eksplorasi DBSCAN - due: Jumat, 14 Nov 2025 jam 11 WIB
    W13 - Evaluations (+ deep clustering)
    Assignment 01 - individual, due: Kamis 20 Nov jam 12:30 WIB
    Assignment 02 - tugas kelompok, OGOS, deadline Kamis 20 Nov jam 17 WIB
    Week 14. Case Study: The Dengue Challenge
    Case study: the dengue challenge Kamis, 27 Nov 2025 jam 10:30 - 12:10 WIB
    Week 15 - PENGUMUMAN FINAL PROJECT USML
    Final Project USML
    Urutan presentasi final project: Selasa, 9 Des 2025 mulai jam 12:45 WIB
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    Unsupervised Machine Learning (A)
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    8. Unsupervised Machine Learning (A)
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    Unsupervised Machine Learning (A)

    • Teacher: Rahmatin Nur Amalia
    • Teacher: Shofi Andari

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    Sukolilo | Manyar | Tjokroaminoto
    Kampus Institut Teknologi
    Sepuluh Nopember Surabaya
    Phone: 031-5994251-54, 5947274, 5945472
    Fax: 031-5923465, 5947845

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