Home
  • CDS503 MACHINE LEARNING
    0%
  • Previous
  • Course data
    General
    Announcements
    Webex for CDS503 Exam
    KSCP Final Exam [28 Sep 2022 10:30 am - 1:15 pm (2 hours 45 min)] - No extra time will be given
    Previous semesters Exam questions
    Week 1: Machine Learning Basics
    01 Machine Learning Basic
    Week 1 Recording
    Week 2: Supervised Learning & Metrics
    Video on Supervised Learning
    [Lecture] Week 2 (Supervised Learning & Metrics)
    [Recording] Week 2 Recording Part 1
    [Recording] Week 2 Recording Part 2
    Week 3: Parametric vs Non-Parametric and Classification (Non-Parametric - KNN)
    Video on Parametric vs Non-Parametric Algorithms
    Video on K-Nearest Neighbour
    [Lecture] 03 Parametric vs Non-Parametric Algorithms
    [Lecture] 03 Non-parametric_1_KNN
    [Recording] Week 3 Recording
    Week 4: Classification (Non-Parametric - Decision Tree)
    Video on Decision Tree
    [Recording] Week 4 Recording
    [Lecture] 04 DecisionTree Non-parametric_2
    Week 5: Classification (Parametric - Naive Bayes)
    [Lecture] 05 Bayes Parametric_1
    [Recording] Week 5 Recording
    Week 6: Classification (SVM)
    06 SVM
    [Recording] Week 6 Recording
    Week 8: Regression
    Notes: Regression
    Notes: Regression (Numerical Examples)
    Week 8 Recording
    WEEK10: Unsupervised Learning: Clustering
    Notes: Clustering
    Notes: Clustering (Numerical Examples)
    Lab: K-Means (Possible answers)
    Week 10 Recording
    WEEK11: Dimensionality Reduction
    Notes: Dimensionality Reduction
    Notes: Dimensionality Reduction (Numerical Examples)
    Week 11 Recording
    WEEK12: Neural Network
    Notes: Neural Network
    Tutorial on ANN and CNN (includes Numerical Example)
    Week 12 Recording
    Week 13: Convolutional Neural Network (Deep Learning)
    Notes: Convolutional Neural Network
    Week 13 Recording
    WEEK14: Ensemble Learning
    Screencast - Ensemble Learning
    Screencast - Ensemble Learning (Lab)
    Notes: Ensemble Learning
    Heart dataset
  • Next
  Home
  • Course Archive
    Sidang 2020/2021
  • Course search
  • Helpdesk
    Contact Us Knowledgebase
    • Log in
      Login For Admin/Guest
    Site Navigation
    CDS503 MACHINE LEARNING
    Home
    Moodle.org website
    Skip to main content

    Portal ini merupakan portal eLearn@USM bagi Sidang Akademik 2021/2022,
    Pensyarah boleh mengakses eLearn@USM Sidang 2022/2023 di pautan berikut:

    https://elearning.usm.my/sidang2223

    Terima Kasih
    Admin Portal

    __________________________________________________________________________________________

    Course info

    1. Home
    2. Courses
    3. APPLIED SCIENCES
    4. SCHOOL OF COMPUTER SCIENCES
    5. Semester III/KSCP
    6. CDS503 MACHINE LEARNING
    7. Summary

    CDS503 MACHINE LEARNING

    • Lecturer: DR. MOHD HALIM BIN MOHD NOOR
    • Lecturer: PROFESOR MADYA DR. UMI KALSOM BINTI YUSOF
    Skill Level: Beginner

    Useful Link

    Official USM Website
    Campus Online
    CDAE Website

    Follow Us

    Useful Link

    Reference Link

    Moodle Docs (v3.9)
    Panopto Support

    Follow Us

    Reference Link

    Follow Us

    Follow Us

    • Course Archive
      • Sidang 2020/2021
    • Course search
    • Helpdesk
      • Contact Us
      • Knowledgebase
    Copyright © 2020 - Universiti Sains Malaysia

    eLearn@USM Sidang 2021/2022 © 2025. All rights reserved.
    Terms & Conditions Privacy Policy Powered by Edwiser RemUI
    You are not logged in. (Log in)
    Get the mobile app