Tag: Python

2024 Guest Lecture Notes: AI, Machine Learning and Data Mining in Recommendation System and Entity Matching

  1. Lecture Notes Repository on GitHub
    1. Disclaimer
    2. 2024-10-14: AI/ML in Action for CSE5ML
    3. 2024-10-15: AI/DM in Action for CSE5DMI
  2. Contribution to the Company and Society
  3. Reference

In October of 2024, I was invited by Dr Lydia C. and Dr Peng C to give two presentations as a guest lecturer at La Trobe University (Melbourne) to the students enrolled with CSE5DMI Data Mining and CSE5ML Machine Learning.

The lectures are focused on data mining and machine learning applications and practice in industry and digital retail; and how students should prepare themselves for their future. Attendees are postgraduate students currently enrolled in CSE5ML or CSE5DMI in 2024 Semester 2, approximately 150 students for each subject (CSE5ML or CSE5DMI) who are pursuing one of the following degrees:

  • Master of Information Technology (IT)
  • Master of Artificial Intelligence (AI)
  • Master of Data Science
  • Master of Business Analytics

Lecture Notes Repository on GitHub

Viewer can find the Lecture Notes on my GitHub Repository: https://github.com/cuicaihao/GuestLecturePublic under a Creative Commons Attribution 4.0 International License.

Disclaimer

This repository is intended for educational purposes only. The content, including presentations and case studies, is provided “as is” without any warranties or guarantees of any kind. The authors and contributors are not responsible for any errors or omissions, or for any outcomes related to the use of this material. Use the information at your own risk. All trademarks, service marks, and company names are the property of their respective owners. The inclusion of any company or product names does not imply endorsement by the authors or contributors.

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.

Contribution to the Company and Society

This journey is also align to the Company’s strategy.

  • Being invited to be a guest lecturer for students with related knowledge backgrounds in 2024 aligns closely with EDG’s core values of “weʼre real, weʼre inclusive, weʼre responsible”.
  • By participating in a guest lecture and discussion on data analytics and AI/ML practice beyond theories, we demonstrate our commitment to sharing knowledge and expertise, embodying our responsibility to contribute positively to the academic community and bridge the gap between theory builders and problem solvers.
  • This event allows us to inspire and educate students in the same domains at La Trobe University, showcasing our passion and enthusiasm for the business. Through this engagement, we aim to positively impact attendees, providing suggestions for their career paths, and fostering a spirit of collaboration and continuous learning.
  • Showing our purpose, values, and ways of working will impress future graduates who may want to come and work for us, want to stay and thrive with us. It also helps us deliver on our purpose to create a more sociable future, together.

Moreover, I am grateful for all the support and encouragement I have received from my university friends and teammates throughout this journey. Additionally, the teaching resources and environment in the West Lecture Theatres at La Trobe University are outstanding!

Reference

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