Machine Learning for Computer Networks and Services

Catalogue des cours de Télécom SudParis

Code

IGFE CSC 7224

Semestre

Fall

Domaine

Informatique

Programme

Master

Langue

Anglais/English

Crédits ECTS

2,5

Heures programmées

21

Charge de travail

42

Coordonnateur(s)

Département

  • Réseaux et Services de Télécom

Equipe pédagogique

Organisation

Cours/TD/TP/projet/examen :

Acquis d'apprentissage

Understanding the main machine learning methods and algorithms
- Being able to apply them to computer networks and applications to solve practical use-cases
- Being able to define and follow a correct protocol (data pre-processing, training, test, validation) and to adapt it to the different use-cases
- Being able to use the main Python libraries for Machine Learning

Prérequis

Basic Linear Algebra

Contenu

1. Introduction (supervised / unsupervised Machine Learning, protocol, data preparation in python)
2. Data exploration, Linear Regression, evaluation of regression models
3. Neural Networks (application to network intrusion classification)
4. Anomaly detection (application to intrusion detection)
5. Recommender systems (application to recommendation of web content)
6. Time series, Preventive Maintenance, Long Short-Term Memory networks (application to IoT or data centers).
7. Project presentation and exam

Fiche mise à jour le 17/12/2020