Educational Content
Comprehensive courses on AI, Machine Learning, MLOps, and Data Science.
Using AI tools for investigation, analysis, and research. #SciencesPo
19 chapters
Du deep learning en machine learning supervisée aux architectures complexes de type Transformers
5 chapters
Panorama des usages de l'IA générative pour les métiers, de l'analyse des LLMs à l'automatisation. Cours SciencesPo Paris
4 chapters
Fundamentals of machine learning: algorithms, techniques, and practical applications.
21 chapters
Transition from traditional machine learning to large language models and generative AI.
12 chapters
Deep dive into NoSQL database systems and data modeling patterns.
19 chapters
Comprehensive course on SQL databases, queries, and optimization.
59 chapters
End-to-end machine learning operations: from model development to deployment and monitoring.
0 chapters