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
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
Part 2: ML techniques for Textual Data
Part 3 & 4: Exploring Applications with Large Language Models
Lecture 3 & 4 - Exploring Applications with Large Language Models
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.
If you do not have a group or would like to change group, contact me by email ASAP.