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ml3 | pirms 5 gadiem | |
ml4 | pirms 3 gadiem | |
ml5 | pirms 11 mēnešiem | |
nlp | pirms 11 mēnešiem | |
python | pirms 2 mēnešiem | |
rdf | pirms 4 gadiem | |
.gitignore | pirms 8 gadiem | |
CONTRIBUTING.md | pirms 5 gadiem | |
Makefile | pirms 5 gadiem | |
README.md | pirms 3 gadiem | |
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requirements.txt | pirms 2 gadiem |
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' (or clone the repository to receive updates).
- Run in a terminal in the folder 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
- ML-4: introduction to Evolutionary Computing
- ML-5: introduction to Reinforcement Learning
- NLP: introduction to NLP
- LOD: Linked Open Data, exercises and example code