2016-02-01 10:33:17 +00:00
# sitc
2017-05-25 07:22:03 +00:00
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)
2017-09-26 07:16:02 +00:00
- TIAD (Tecnologías Inteligentes de Análisis de Datos) - Master Universitario en Ingeniera de Redes y Servicios Telemáticos)
2017-03-30 10:43:42 +00:00
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
2016-04-07 13:35:39 +00:00
* 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
2018-04-25 21:18:27 +00:00
* ML-3: introduction to machine learning. Neural Computing
2018-05-03 09:27:07 +00:00
* ML-4: introduction to Evolutionary Computing
* ML-5: introduction to Reinforcement Learning
2016-12-14 18:02:28 +00:00
* NLP: introduction to NLP
2017-02-27 11:52:40 +00:00
* LOD: Linked Open Data, exercises and example code
