Why a linear model?
A linear model, in the broadest sense, is the basis for many more complex models, which are used to make predictions of a quantity of interest. This course provides the necessary elements to master this essential model, with a view to its use in machine learning and to create metamodels.
2-day course
- Learn about the different types of metamodels.
- Know how to build and exploit a metamodel by linear regression.
- Know the main designs of experiments and methods of validation
- Good knowledge of probability theory.
- Knowledge of Python recommended.
AUDIENCE
- R&D Engineer
- Design Office Engineer
- Operational safety Engineer.
- May 20-21, 2021
- November 4-5, 2021
PLACE
Paris (12ème ou 7ème arr. suivant disponibilité)
MANAGER
Gaëtan BLONDET
Program
Introduction to metamodels
Design of experiments
Choosing the model
Validating a metamodel
Linear regression model
- Asymptotic formulation and law of estimators
- Validation and statistical tests
Practice work
catalogue_2021_incertitudeApplication form
Register or ask for further information. Personalised training courses can also be provided. The location of the training is subject to change. Training courses can be held at a distance. In this case, the training can be delivered in several short sessions (e.g. 2 hours) via videoconference software, spread over several days, in agreement with the trainer and the participants.