Introduction to machine learning (2019 - 2020)

Final Exam

Date: Thursday, May 28 from 8:30 to 12:30.
Place: From home
Subject: Download (Do not do question 15)
Videoconference link: Gotomeeting
Exemple of exercises from previous years: Exercises (solutions)

The exam takes the form of a homework assignment from your home in a limited time. You have access to all the resources at your disposal. You need to return your copy before May 28th, 2020 at 12:50 by uploading it with the form below. Do not be late.

The penalty scale is minus one point for every 10 minutes delay (-1 point if returned between 12h50 and 13h, -2 points if it is between 13h and 13h10,...).

If you don't succeed the upload (for some reason), let me know on gotomeeting and try again a few minutes later. Otherwise, send it by email to and but only after you have tried the upload.

It should be written in English as a single pdf file of maximum size 40Mb. You can take photos of a handwritten copy with your phone, but the photo must be readable and converted to a single pdf file. Please practice doing this before the exam.

The examination will consist of approximately four parts that will cover various parts of the course. The first will be course questions (without technical proofs) to check that you have understood the global content. The other three exercises will be more technical and independent of each other. The exam will probably be too long for you to finish it. Don't panic. Remember that the exercises are independent of each other and remember to choose the ones you prefer.

Upload you file using the following form