Number of hours
- Lectures 0
- Projects 0
- Tutorials 16.0
- Internship 0
- Laboratory works 12.0
- Written tests 0
ECTS
ECTS 2.0
Goal(s)
Learn some basic algorithms for Machine Learning and deep learning
Learn to design the right Machine Learning method according to a given dataset
Learn to evaluate the performances on a Machine Learning system
Content(s)
0. Introduction to deep learning
1. K-NN and Bayesian classification
2. Linear regression
3. Logistic Regression
4. SVM Classifier / Principal Component Analysis / Kmeans clustering
5. Neural Networks
6. Convolutional Neural Networks
7. Generative Neural Networks
8. Recurrent Neural Networks
Prerequisites
Python language MANDATORY
1st year mathematics course
Semester 9 - The exam is given in english only
Continuous assessment
Reports + MCQ
En session 1
Pour le cours : Contrôle continu : QCMs + rapports
Pour le BE : contrôle continu : rapport
N1 = Note finale session 1 = 50% moyenne du CC cours + 50% note rapport de BE
En session 2
Rapport sur un mini projet
N2 = note du rapport
Les modalités sont les mêmes en présentiel et en distanciel
This course brings 3.0 ECTS to students in UE Engineering ( SàC SCOG )
Semester 9 - This course is given in english only