Guest Lecture (Public): AI/ML/DM in Action

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File structure

latrobe
├── CSE5DMI
│   ├── 2024-10-15_CaseStudy-CSE5DMI.excalidraw
│   ├── 2024-10-15_CaseStudy-CSE5DMI.png
│   ├── 2024-10_15_GuestLecture_CSE5DMI.excalidraw
│   └── 2024-10_15_GuestLecture_CSE5DMI.png
└── CSE5ML
    ├── 2024-10-14_CaseStudy-CSE5ML.excalidraw
    ├── 2024-10-14_CaseStudy-CSE5ML.png
    ├── 2024-10-14_GuestLecture_CSE5ML.excalidraw
    └── 2024-10-14_GuestLecture_CSE5ML.png

Presentation List

This is public repository aiming to share the lecture for the public. The *.excalidraw files can be download and open on https://excalidraw.com/)

• [2024-10-14: AI/ML in Action for CSE5ML]

  • General Slides CSE5ML
  • Case Study: Recommendation System
    • A recommendation system is an artificial intelligence or AI algorithm, usually associated with machine learning, that uses Big Data to suggest or recommend additional products to consumers. These can be based on various criteria, including past purchases, search history, demographic information, and other factors.
  • This presentation is developed for students of CSE5ML LaTrobe University, Melbourne and used in the guest lecture on 2024 October 14.

• [2024-10-15: AI/DM in Action for CSE5DMI]

  • General Slides CSE5DMI
  • Case Study: Entity Matching System
    • Entity matching - the task of clustering duplicated database records to underlying entities.
    • "Given a large collection of records, cluster these records so that the records in each cluster all refer to the same underlying entity."
  • This presentation is developed for students of CSE5DMI LaTrobe University, Melbourne and used in the guest lecture on 2024 October 15.

License

This work is licensed under a Creative Commons Attribution 4.0 International License.