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README.md

sitc

Exercises for Intelligent Systems Course at Universidad Politécnica de Madrid, Telecommunication Engineering School. This material is used in the subjects

SITC (Sistemas Inteligentes y Tecnologías del Conocimiento) - Master Universitario de Ingeniería de Telecomunicación (MUIT)
TIAD (Tecnologías Inteligentes de Análisis de Datos) - Master Universitario en Ingeniera de Redes y Servicios Telemáticos)

For following this course:

Follow the instructions to install the environment: https://github.com/gsi-upm/sitc/blob/master/python/1_1_Notebooks.ipynb (Just install 'conda')
Download the course: use 'https://github.com/gsi-upm/sitc'
Run in a terminal in the foloder sitc: jupyter notebook (and enjoy)

Topics

Python: quick introduction to Python
ML-1: introduction to machine learning with scikit-learn
ML-2: introduction to machine learning with pandas and scikit-learn
ML-3: introduction to machine learning. Neural Computing
NLP: introduction to NLP
LOD: Linked Open Data, exercises and example code