Ce cours apparaît dans les formations suivantes :
• IÉSEG > MSc in Big Data Analytics for Business > Semester 2 > 4,00 ECTS

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 and regression
- get hands on on evaluation frameworks for classification and regression

These competencies and/or skills contribute to the following learning objectives
- 3.B Propose creative solutions within an organization
- 5.A. Predict how business and economic cycles could affect organizational strategy
- 5.C Employ state-of-the-art management techniques
- 7.B Formulate strategically-appropriate solutions to complex and unfamiliar challenges in their professional field
- 7.C Effectively apply in-depth specialized knowledge to take advantage of contemporary opportunities in their professional field
- 7.D Be a reference point for expertise-related questions and ambiguities

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

Méthodes pédagogiques

• Coaching
• Interactive class
• Presentation
• Project work
• Research

Évaluation

The assesment criteria will be explained in detail during class.

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. -

Ressources internet

• Statistical Learning MOOC (by Trevor Hastie and Rob Tibshirani)

• Machine Learning (by Andrew Ng)

• R for Statistical Learning (by David Dalpiaz)