General Engineering Program
General Data
Academic program General Engineering Program :
Type d'EC Classes (LIIAem08EData)
Lectures : 8h00
Project : 8h00
Total duration : 24h00
Status :
Period :
ACADEMIC SEMESTER
Education language :
French
Learning Outcomes
The theme of the DATA course in digital coloring is machine learning.
The goal is to understand the issues and initial concepts of machine learning.
Skills:
- Understand conceptual definitions
- Understand mathematical definitions
- Implement these definitions on simple examples
- Implement on a complex example
- Analyze the results and suggest improvements
- Team working
Content
The course plan is as follows:
- Linear regression and Gradient Descent
- Logistic regression
- Data: learning base vs test base
- Over and under learning
- Meta parameters
- Perceptron
- Neural networks
The course will be enhanced with many exercises.

The second part of the course is carried out in the form of a project whose objective is to implement the concepts seen in the first part. It is about carrying out a machine learning process on a real basis and studying the avenues for improvement.
Pre-requisites / co-requisites
- Basics of algorithms.
- Python basics
Bibliography
Machine Learning course - Andrew Ng - Coursera - Stanford - 2021. Online : https://fr.coursera.org/learn/machine-learning
Vidéos 3Blue1Brown series - Saison 3 - 2021 : Online ; https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
Deep Learning With Python, François Chollet, Edition Manning, 2022
Assessment(s)
Nature Coefficient Observable objectives
1Project1
2Continuous Assessment1