FIUBA-Posgrado-Inteligencia-Artificial/aprendizaje_maquina_II
Material correspondiente a AMq2
This project provides comprehensive educational materials for developing and deploying machine learning products in a scalable way, following best programming practices. It takes you from understanding machine learning project lifecycles to operationalizing models for production environments. This is intended for machine learning engineers or data scientists looking to advance their skills in MLOps.
Use this if you are a data scientist or ML engineer who needs to learn how to build, deploy, and manage machine learning models in production, rather than just developing experimental models.
Not ideal if you are looking for an introduction to the fundamentals of machine learning algorithms or basic data analysis techniques.
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Last pushed
Mar 06, 2026
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