This program was developed with the assistance of leading Data experts and will notably enable you to:
Employed at the most innovative companies on the market, they will deliver their best methods to you and share their successes as well as their failures.

Adrien Morvan
Data Science Manager



Marie Crappe
Head of AI & Finance Officer



Bettina Hermant
Senior Machine Learning Engineer


Partie 1 - Concepts clés de la data science & du machine learning
Introduction and Fundamentals
Comprehensive understanding of the entire process, from data collection to result interpretation
Exploration of machine learning types (supervised, unsupervised, reinforcement learning)
Essential techniques for effectively cleaning and preprocessing data
Assessment
Understanding the key metrics to evaluate the performance of Machine Learning models
Sharing results and challenges encountered during data preparation
[WORKSHOP]
Hands-on Group Workshop
The participants will work on a real dataset to conduct an exploratory analysis and prepare the data for Machine Learning.
Partie 2 - Modèles d'IA générative & deep learning
Advanced Models and Generative AI
Implementation of classical models such as logistic regression or decision trees
Understanding fundamental concepts of deep learning and their role in generative AI
Key concepts of General Adversarial Networks and language models like GPT
Deployment
Techniques for deploying models in production and interpreting their results, including for generative AI
Discussion on model results and exploration of improvement avenues
[WORKSHOP]
Hands-on Group Workshop
Development of a simple predictive model with Scikit-learn
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Data Science & Machine Learning
4.7
5 out of
658
meetings
Tailored by experts working in the most innovative companies in the market, our Data Science & Machine Learning training provides you with a comprehensive and practical experience for advanced analyses and real-world applications.
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Learn from the top industry experts, current leaders
Custom training tailored to your specific objectives
Practice with real cases from your sector and your industry
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