Introduction to machine learning

Material

• Lecture notes (October 8 2025)

Practicals

• Functions for practical sessions

• Practical 1

• Practical 2, the SVM GUI and the polynomial kernel in action

• Practical 3

• Practical 4 (supplementary)

• Practical 5 (supplementary)

• Practical 6 (supplementary)

• Practical 7 (supplementary)

Exam

1. Exam without documents (Thursday, November 6): 16 points.

2. Data challenge: 4 points.

Instructions for the data challenge

1. Join the challenge: Identification de gaz toxiques

2. Select the course SU - AS 2025

3. Fill out the registration form

4. Intermediate ranking: Sunday, October 19

5. Final ranking and end of the data challenge: Sunday, November 9

Final mark:

1. Intermediate and final rankings on the private leaderboards

2. A notebook making it possible to preprocess the data, train your final model et generate the predictions. To be uploaded on this remote repository before the end of the data challenge

3. A 2-page pdf-LaTeX report describing:

• the data preprocessing;

• the model selection phase;

• your final model along with its public and private scores;

• the impediments you faced and your achievements.