Notes, Slides and Demos for COMP6237 2024-25
Zhiwu’s parts of the ECS COMP6237 Data Mining module will be taught through lectures and demonstrations, based on Jon Hare’s and Jo Grundy’s lectures and demonstrations written for the course in previous years. Their demonstrations, lecture slides, and videos are available here. Please note that video recordings may not be available for all lectures. This may be due to technical issues or our intention to encourage greater in-person attendance. Additionally, some recordings may only be available for lectures from earlier years.
Side Notes: The module AICE1006-EDA Resource provides valuable insights and example codes on fundamental data processing and analysis, which may be useful for the COMP6237 coursework. The module COMP6252 Deep Learning Technologies offers a comprehensive guideline on applying basic deep learning techniques for those interested in further learning. If additional computational resources are required for training deep learning models, please refer to the Iridis Useful Scripts, which can help enhance efficiency for computationally intensive tasks.
Date | Title | Slides | Handouts | Code | Video |
---|---|---|---|---|---|
27/01/25 | Introduction to Data Mining | – | – | Video | |
30/01/25 | Linear Regression I | – | – | Video | |
03/02/25 | Linear Regression II | – | – | – | Video |
04/02/25 | Linear Regression III | – | – | – | Video |
06/02/25 | Linear Regression Problem sets | – | Solutions | – | Video |
10/02/25 | Logistic Regression | – | – | Video | |
17/02/25 | Dealing with Non-Linear Data | – | – | Video | |
17/02/25 | Making Recommendations | – | git | Video | |
18/02/25 | Discovering Groups | – | git | Video | |
24/02/25 | Covariance, EVD, PCA & SVD | – | git | – | |
24/02/25 | Embedding Data | – | git | – | |
25/02/25 | Searching and Ranking | – | git | – | |
27/02/25 | Document Filtering | – | git | – |