Machine Learning: AdvancedHome Training Catalog Machine Learning: Advanced Analysis Data Science Open Source On-site courses Face-to-face Remote/Virtual English French Objectives Master more complex machine learning models, in particular ensemble methods based on bagging and boosting techniques, to use and optimize penalty models (lasso and elasticnet), to understand the bootstrap resampling technique for estimation and cross-validation, to know how to implement collaborative filtering techniques. At the end of this training, the participant will have a global vision of the different multivariate modeling techniques. Prerequisites Attended the « Bases du Machine learning course » Pedagogical and technical material and resources Dedicated digital training platform (LMS). Sessions with the trainer, training material in digital format, balance between theoretical and practice, concrete cases. Assessment Practical application and exercises Results & skills expected at the end of the training At the end of this training, the participant will have a global vision of the different multivariate modeling techniques. Program Day 1 Advanced data mining: DBSCAN, unsupervised data clustering algorithm Manifold Learning DAY 2 Gaussian Mixture Modelling (GMM) Optimizing penalty models with Lasso and elasticnet (regression, PLS) Support Vector Machine (SVM) DAY 3 Random Forest and Gradient Boosting Machines Bootstraping estimation and cross-validation Collaborative filtering and recommendation system Download the full program Duration 21 hours Level Intermediate Audience Anyone wishing to deepen their knowledge of Machine Learning. Participants 8 people maximum Please contact us for a personnalized offer. Are you looking for information about a training course? You want to set up a customized training session? Contact our pedagogical team! Notice: JavaScript is required for this content. Upcoming trainings Analysis Modular training course - NVivo basics Objectives Understand the role of NVivo in the qualitative analysis process. Understand and master the NVivo environment. Source management Case management Source coding Crossing matrices Documenting your analysis; memos, annotations and links to. 06, 07, 09 and 10 March Register Ask for a quote Upcoming trainings Analysis Modular training course - NVivo Advanced Objectives Discussing with participants on their NVivo practices and deepen the following knowledge and skills: Mastering the NVivo environment. Source management Case management Source coding Queries and matrices Documenting your analysis; memos, annotations and links to. Viewing and exporting Importing and using data from social networks and the web Collaborative work and coding comparison. Please contact us if you would like to have this training course held in English. 13, 14, 16 and 17 March Register Ask for a quote Upcoming trainings Analysis Scientific graphs with PRISM Objectives Discover all the possibilities offered by PRISM to get the graph you want, automated plotting of fit curves included. 12 and 13 June Register Ask for a quote Previous Next