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Aujourd'hui toutes les entreprises collectent et stockent de grandes quantités de données. Ces mégabases de données, qui ne cessent d'augmenter jour après jour, sont peu exploitées, alors qu'elles cachent de connaissances décisives face au marché et à la concurrence. Pour combler ce besoin, une nouvelle industrie est en train de naître : la Science des Données (Data Science). Le but de l'EC est d'initier les élèves-ingénieurs aux méthodes et algorithmes de Machine Learning.

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  1. ITI
  2. Supervised Learning

Introduction au 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
    • Model Selection File
    • Practice Model Selection File
    • Data Splice File
    • Splice test File
    • Due Model Selection Assignment
    • TP Graph Kernels File
    • Datasets File
    • Challenge File
    • Due Challenge Assignment
◄3 - Optimization
►Trees and forests
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