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UEI Artificial Intelligence : Introduction to Machine Learn.
ECUE's code : SMUSVPI
EFELIA
Sciences de l'information et de la communication
Campus Valrose
Master 1
,
Master 2
Anglais
PRESENTATION
Course's manager(s)
Edoardo Sarti
In class
- 14h of lectures
- 14h of directed studies
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
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3- Classification (logistic reg, LDA, kNN, SVM, CART)
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4- Clustering (hclust, k-means, GMM+EM)
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5- Dimension reduction (PCA, t-SNE)
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Evaluation
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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