[{"command":"insert","method":null,"selector":".course-modal-ajax-placeholder-958553","data":"\u003Cdiv class=\u0022container content-rte\u0022\u003E\n  \u003Cdiv class=\u0022row\u0022\u003E\n    \u003Cdiv class=\u0022box col-md-6 bg-primary text-white\u0022\u003E\n      \u003Ch2 class=\u0022h1 text-left\u0022\u003E  Machine learning and data mining\n\u003C\/h2\u003E\n                  \u003Cdiv class=\u0022field-spacing\u0022\u003E\n        \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EECTS :\n          3\n        \u003C\/div\u003E\n      \u003C\/div\u003E\n                  \u003Cdiv class=\u0022field-spacing\u0022\u003E\n        \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ESemester:\n          Annualis\u00e9\n        \u003C\/div\u003E\n      \u003C\/div\u003E\n            \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ED\u00e9tail du volume horaire\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                          \u003Cspan class=\u0022field__label h4 mt-5 \u0022\u003ELecture:\u003C\/span\u003E\n                                      \u003Cspan\u003E9\u003C\/span\u003E\n                      \u003C\/div\u003E\n                                              \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                          \u003Cspan class=\u0022field__label h4 mt-5 \u0022\u003EDirected study:\u003C\/span\u003E\n                                      \u003Cspan\u003E13.5\u003C\/span\u003E\n                      \u003C\/div\u003E\n                                                            \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ELangue d\u0026#039;enseignement\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003EAnglais\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EEnseignement \u00e0 distance\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003Enon\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n      \u003C\/div\u003E\n    \u003Cdiv class=\u0022box col-md-6\u0022\u003E\n                    \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EProgramme \/ plan \/ contenus\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003E- Introduction to machine learning and data mining\u003Cbr\u003E\n- The clustering problem\u003Cbr\u003E\n- K-means algorithm\u003Cbr\u003E\n- Hierarchical clustering\u003Cbr\u003E\n- Spectral clustering\u003Cbr\u003E\n- Tree-based learning methods (Decision trees)\u003Cbr\u003E\n- Ensemble methods (Boosting, Bagging)\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EObjectifs d\u0026#039;apprentissage\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003EThis course provides an introduction to machine learning and data mining techniques. Students will learn to analyze datasets, discover structure with clustering algorithms, and build powerful and interpretable predictive models with decision trees and ensemble methods. Emphasis is placed on practicals related to multi-omics tabular datasets and applications in precision medicine. Students will have the opportunity to apply their acquired skills in cutting-edge machine learning challenges.\u003C\/p\u003E\n\u003Cp\u003EBy following this course, students will be able to:\u003Cbr\u003E\n-\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;Understand the underlying mathematical foundations of machine learning and data mining approaches\u003Cbr\u003E\n-\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;Design, train, and evaluate machine learning and data mining pipelines on real-world tabular datasets\u003Cbr\u003E\n-\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;Use popular frameworks like scikit-learn to build and deploy such pipelines\u003Cbr\u003E\n-\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;Engage in cutting-edge real-world machine learning challenges, with a particular focus on applications in precision medicine\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n                        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EComp\u00e9tences\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003EC1.2. Concevoir une d\u00e9marche exp\u00e9rimentale.\u003C\/p\u003E\n\u003Cp\u003EC1.3. \u00c9tablir, r\u00e9aliser et optimiser des protocoles exp\u00e9rimentaux.\u003C\/p\u003E\n\u003Cp\u003EC1.4. Produire et valider des donn\u00e9es scientifiques.\u003C\/p\u003E\n\u003Cp\u003EC2.1. Actualiser ses connaissances th\u00e9oriques et technologiques par une veille dans son domaine en relation avec l\u2019\u00e9tat de la recherche\u003C\/p\u003E\n\u003Cp\u003EC2.3. Se former \u00e0 de nouveaux outils technologiques.\u003C\/p\u003E\n\u003Cp\u003EC4.1. Travailler en autonomie et collaborer avec les membres d\u2019une \u00e9quipe afin d\u2019atteindre des objectifs communs.\u003C\/p\u003E\n\u003Cp\u003EC4.3. Organiser et planifier son temps de travail de fa\u00e7on \u00e0 respecter des deadlines.\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n                \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ENature de l\u0026#039;\u00e9valuation\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003EEvaluation Continue non Int\u00e9grale\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n      \u003C\/div\u003E\n  \u003C\/div\u003E\n\u003C\/div\u003E\n","settings":null}]