Fiche détaillée d'un cours


 


Voir la fiche établissement

STATISTICAL & MACHINE LEARNING APPROACHES FOR MARKETING

2017-2018

IESEG School of Management ( IÉSEG )

Code Cours :

1718-IÉSEG-MBD1S2-MKT-MBDCE01UE

MARKETING


Niveau Année de formation Période Langue d'enseignement 
MSc in Big Data Analytics for Business1S2English
Professeur(s) responsable(s)M.Phan
Intervenant(s)Minh Phan


Pré requis

• Descriptive and Predictive Analytics
• Business Analytics Tools - Open Source
• Business Analytics Tools - Commercial
• Business Reporting Tools

Objectifs du cours

At the end of the course, the student should be able to:
• Understand and implement data preprocessing methods
• Understand the functioning of statistical and machine learning approaches for classification
• Get hands on on evaluation frameworks for classification

Contenu du cours

This course has the intention to deepen the knowledge of the participants in the field of statistical and machine learning approaches with applications in marketing. The course details various data preprocessing, classification algorithms and evaluation frameworks


Modalités d'enseignement

Organisation du cours

TypeNombre d'heuresRemarques
Face to face
Interactive class32,00  
Independent work
Reference manual 's readings10,00  
Research20,00  
Independent study
Group Project18,00  
Estimated personal workload20,00  
Charge de travail globale de l'étudiant100,00  

Méthodes pédagogiques

  • Research
  • Project work
  • Interactive class
  • Coaching


Évaluation

The assesment criteria will be explained in detail during class.

Type de ContrôleDuréeNombrePondération
Continuous assessment
Participation0,00010,00
Others
Group Project0,00030,00
Individual Project0,00060,00
TOTAL     100,00

Bibliographie

  • James, Gareth and Witten, Daniela and Hastie, Trevor and Tibshirani, Robert, An Introduction to Statistical Learning: With Applications in R, 2014, Springer Publishing Company, Incorporated. -




 
* Informations non contractuelles et pouvant être soumises à modification
 
 
Vidéo : Un campus à vivre
Notre chaîne Youtube