Objectif :
• Master the general principles of machine learning
• Recognize the different forms of machine learning
• Identify the concepts of bias and variance
• Identify the concepts of overfitting and complexity
• Identify the principle of the main supervised learning methods
• Implement a supervised learning technique
• Identify the principle of the main unsupervised learning methods
• Implement an unsupervised learning technique
• Create a pipeline for implementing a machine learning project
Contenu :
• Master the general principles of machine learning
• Recognize the different forms of machine learning
• Identify the concepts of bias and variance
• Identify the concepts of overfitting and complexity
• Identify the principle of the main supervised learning methods
• Implement a supervised learning technique
• Identify the principle of the main unsupervised learning methods
• Implement an unsupervised learning technique
• Create a pipeline for implementing a machine learning project
Langue(s) d'enseignement :
Anglais
Récurrence :
Forme :
Mixte
Lieu :
Campus de l'innovation et du sport
Nombre d'heures :
15.00 heures
Droit d'inscription :
250 US payables à la banque Audi ou au secrétariat de l'institution
Personne à contacter :
MENASSA MAALOUF Cynthia (Joseph)