Course description

Title of the Teaching Unit

Intelligence Artificielle 2 : Machine Learning

Code of the Teaching Unit

22MQ090

Academic year

2024 - 2025

Cycle

Number of credits

Number of hours

Quarter

Weighting

Site

Anjou

Teaching language

French

Teacher in charge

CUVELIER Etienne

Objectives and contribution to the program

The teaching unit addresses quantitative techniques for exploring and interpreting data from a practical perspective.
At the end of the course the student will be able to choose and implement the quantitative techniques necessary to analyze a practical problem from real economic life.

Prerequisites and corequisites

21MQ050, "Quantitative Methods 1: Exploratory Methods".

Content

1) Predictive Methods
a) Regression methods
i) Linear (bivariate and multivariate)
ii) Non-linear (bivariate and multivariate)
b) Rules of Association
c) Classification
i) Introduction
ii) Techniques for validating results
iii) k-nearest neighbours
iv) Bayesian Classifiers
(1) Naive Bayes
(2) EM Algorithm for Clustering with MCLUST
v) Decision Trees
vi) Vector Machine Support
vii) Artificial Neuron Networks
d) Sentiment Analysis

Teaching methods

- Presentation ex cathedra and practical application in the laboratory via specific software
- Practical case studies

Assessment method

The examination will be oral and will include the presentation and defense of a work, possibly via TEAMS.

References

- Data Mining and Analysis, Fundamental Concepts and Algorithms, Zaki M. J., Meira, W Jr, Cambridge University Press, May 2014.
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition, Hastie T., Tibshirani R., Friedman J., Springer, 2009
- Social media mining: an introduction, Zafarani R., Abbasi M.A., Liu H, Cambridge University Press, 2014.
- An Introduction to Statistical Learning with Applications in R, James G. , Witten D. , Hastie T., Tibshirani R., Springer, 2009.
- R Programming for Data Science, Peng R. D., LeanPPub, 2016.
N.B.: Toutes les références sont en téléchargement libre légalement.