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Machine Learning

Course Introduction

 

  • Course Name: Machine Learning (Pembelajaran Mesin)
  • Course Code: CSH3L3
  • Credits : 3
    • 14 weeks of each:
      • 3 x 50’ class
      • 3 x 50’ structured tasks
      • 3 x 50’ self study

 


Point Distribution

A 80 … 100.0
AB 75 … 79.99
B 70 … 74.99
BC 60 … 69.99
C 50 … 59.99
D 40 … 49.99
E 0 … 39.99

 

Lecture Slides [2020]

  1. Introduction to Machine Learning
  2. Problem and Data Understanding
  3. Evaluation Metrics
  4. K-Means Clustering
  5. Hierarchical Clustering
  6. Naive Bayes
  7. Support Vector Machine
    • [optional] SVM Detailed
  8. Introduction to Artificial Neural Network
  9. Gradient and Backpropagation
  10. Ensemble Methods
  11. Reinforcement Learning

 

Lecture Slides [2019]

 

  1. Introduction to Machine Learning
  2. Introduction to Classification
  3. Regression
  4. Naïve Bayes
  5. Artificial Neural Network
  6. Probabilistic Neural Network
  7. Support Vector Machine
  8. Multi-Class SVM and Kernel Tricks
  9. Clustering  (kMeans and Agglomerative)
  10. Self-Organizing Maps
  11. Reinforcement Learning Introduction
  12. Reinforcement Learning part 2
  13. Ensemble Methods – Bagging and Boosting
  14. Ensemble Methods – Random Forest

 


 

MISC

 

 

GitHub Exercise

 

 


 

Teaching History

 

 

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