BC2.03b Machine Learning - Dr Doan Nhat Quang

Topic outline

• General
  

  General

  • Announcements Forum
• Guidelines
  

  Guidelines

  2025 - 2026

  Group Registration: Link

  Classroom: Link

  PROJECT

  Labwork deadline: TBD

  Presentation + Report Submission: TBD

  • Presentation: 
  • Report Submission: 

  Guidelines for report/presentation:

  • Introduction/Motivation/Contribution: Specify clearly the content of the project;
  • Project process: describe in detail how to build the system/models in the project;
  • Data analysis: study the collected data, and perform statistical analysis on the data;
  • Experiments: show the experimental protocols, calculate the complexity or running time
  • Evaluation and discussion: calculate the quality criteria, compare the obtained results from different models, and propose respectives

  Report: 5-10 pages

  Group: 3 member(s)/group

  Presentation: 10' for presentation, 5' for QA (15'/group and all members must be present) 

  
  
• Lecture 1
  

  Lecture 1

  • Lecture 1 - Introduction File
• Lecture 2
  

  Lecture 2

  • Lecture 2 - Feature Selection File
  • L1 Regulization - FS File
  • Random Forest - FS File
  • Labwork 1 File
• Lecture 3
  

  Lecture 3

  • L3 - Association Rule Learning File
  • Transaction Database File
• Lecture 4 (labwork 2)
  

  Lecture 4 (labwork 2)

  • L3 - Semi - supervised Learning File
• Lecture 5
  

  Lecture 5

  • Reinforcement Learning File
  • Data: MAB File
  • Code: MAB File
  • Code: Q-Learning File