Topic: 3 - Optimization | Machine Learning (IML)

Moodle INSA Rouen

Course summary

Le but de l'EC est d'initier les élèves-ingénieurs aux méthodes et algorithmes de Machine Learning pour traiter des masses de données.

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January 2026

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Activity since Thursday, 8 January 2026, 3:08 AM

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Section outline

Cette partie du cours donne les éléments les plus importants de l'optimisation. Elle aborde les généralités de l'optimisation, comment caractériser un problème d'optimisation. Des méthodes usuelles d'optimisation sans contraintes et avec contraintes sont ensuite abordées.
- Select activity Introduction to optimization: unconstrained and constrained problem
  
  Introduction to optimization: unconstrained and constrained problem File
- Select activity Labwork - Unconstrained Optimization
  
  Labwork - Unconstrained Optimization File
- Select activity Labwork - Constrained Optimization
  
  Labwork - Constrained Optimization File
- Select activity Due Labwork - Introduction to optimisation
  
  Due Labwork - Introduction to optimisation Assignment
- Select activity Due Labwork - Introduction to Optimization - Constrained Optimization
  
  Due Labwork - Introduction to Optimization - Constrained Optimization Assignment
- Select activity utility.py
  
  utility.py File
- Select activity maisons.csv
  
  maisons.csv File