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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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March 2026

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  1. ITI
  2. Supervised Learning

Machine Learning (IML)

Section outline

  • Préambule
  • 1 - Introduction
  • 2 - Clustering
  • 3 - Optimization
  • Supervised Learning
  • Trees and forests
  • Archives Examens
  • Examen Machine
  • Supervised Learning

    • Advice for Applying Machine Learning de Andrew Ng (Stanford) File
    • Logistic Regression File
    • Practice Session - Logistic Regression File
    • Script utility.py File
    • Dataset: spambase.zip File
    • Dataset Mnist.zip File
    • Due Practice Session Logistic Regression Assignment
    • Linear SVM File
    • Classwork Linear SVM File
    • Python Code to compute W and b (for SVM on your own) File
    • Practical Session: Linear SVM File
    • Script utility_svm.py File
    • Due Linear SVM Labwork Assignment
    • Kernel SVM File
    • Practice Session : Kernel SVM File
    • Due Practice Session Work : Kernel SVM Assignment
    • Deep learning: introduction File
    • Practice session Deep learning File
    • DataMixtures.zip File
    • utils_intro_deep.py File
    • Due Practice Session : Deep learning Assignment
    • Model Selection File
    • Practice Model Selection File
    • Data Splice File
    • Splice test File
    • Due Model Selection Assignment
◄3 - Optimization
►Trees and forests
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