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UE Artificial intelligence: Introduction to machine learning
ECUE's code : KMUIAM
EUR DS4H
Sciences de l'information et de la communication
Campus Valrose
Master 1
,
Master 2
Semestre pair
Anglais
PRESENTATION
Contenu et modalités :
*12h de CM en distanciel
- General introduction: the different problems of ML, the learning process
- Regression with the linear model
Descriptif des UEs du Master SV
54
- Classification (logistic reg, LDA, kNN, SVM, CART)
- Clustering (hclust, k-means, GMM+EM)
- Dimension reduction (PCA, t-SNE)
*3 x 12h de TPs faits par des doctorants 3IA
Attention cette UE nécessite des connaissances en programmation Python
Course's manager(s)
Edoardo Sarti
In class
PREREQUISITES
Before the start of the course, I must ...
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Avoir des connaissances en Python
OBJECTIVES
By the end of this course, I should be able to...
- exploiter les bases du machine learning dans le cadre d'application biologique
CONTENT
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1- General introduction: the different problems of ML, the learning process
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2- Regression with the linear model
No description
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3- Classification (logistic reg, LDA, kNN, SVM, CART)
No description
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4- Clustering (hclust, k-means, GMM+EM)
No description
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5- Dimension reduction (PCA, t-SNE)
No description
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Evaluation
No description
Access to complete Syllabus (Authentification required)
Important
This syllabus has no contractual value. Its content is subject to change throughout this year: be aware to the last updates