sergiomorapardo/AdvancedTopicsAnalytics
Material y notebooks del curso "Tópicos Avanzados en Analítica Computacional". Cubre Deep Learning, NLP, Sistemas de Recomendación, MLOps y Geometric Deep Learning.
This content helps individuals understand how to extract valuable insights from various data types like text, process logs, and social network information. It provides practical exercises and projects to build systems that analyze text for sentiment, find similarities, and understand language. The materials are designed for data scientists, analysts, or researchers who need to apply advanced computational techniques to real-world information challenges.
Use this if you need to learn practical applications of advanced analytics, particularly in processing natural language, understanding data streams, or analyzing social networks.
Not ideal if you are looking for a plug-and-play solution without hands-on implementation, or if you prefer a theoretical-only approach to analytics.
Stars
12
Forks
14
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Nov 05, 2025
Commits (30d)
0
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