This part of the INF2494M course is dedicated to explaining the machine learning pipeline, introducing new techniques, and exploring/implementing those techniques in real-world use cases.

The main page of the INF2494M course is available at http://cazabetremy.fr/Teaching/DISS/ML.html

Contact

• Dr. Bruno Yun
  • Email: [email protected]
  • Website: https://bruno-yun.notion.site/
  • Office: Nautibus, 12.038 (second floor).
  • Working hours: 9:00 am to 5:00 pm

Structure of the course

The course will have three parts, each comprising a 2-hours lecture and a 2-hours practical session. Those parts are as follows:

• Part 1: The Machine Learning Pipeline (13/11/2024 morning)

  Lecture 1 - The Machine Learning Pipeline

  Practical 1

  Solutions Practical 1

• Part 2: ML techniques for Textual Data (13/11/2024 afternoon)

  Lecture 2 - ML techniques for Textual Data

  Practical 2

  Solutions Practical 2

• Part 3 & 4: Exploring Applications with Large Language Models (20/11/2024 all day)

  Lecture 3 & 4 - Exploring Applications with Large Language Models

  Practical 3 & 4

Mini-project

In this course, you will complete a group mini-project which will count for 10% of the overall course grade. The details of this mini-project can be accessed at the link below.

• Deadline to form groups: 15th of November 2024
• Deadline to submit report/code: 8th of December 2024, 23:59

Group list

If you do not have a group or would like to change group, contact me by email ASAP.

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