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Added optional exercises. |
20 ore fa | |
|---|---|---|
| lod | 1 anno fa | |
| ml1 | 2 mesi fa | |
| ml2 | 2 mesi fa | |
| ml3 | 5 anni fa | |
| ml4 | 20 ore fa | |
| ml5 | 12 mesi fa | |
| ml21 | 2 settimane fa | |
| nlp | 1 anno fa | |
| python | 2 mesi fa | |
| rdf | 4 anni fa | |
| sna | 2 giorni fa | |
| .gitignore | 8 anni fa | |
| CONTRIBUTING.md | 5 anni fa | |
| Makefile | 5 anni fa | |
| README.md | 2 giorni fa | |
| logo.jpg | 6 anni fa | |
| requirements.txt | 2 anni fa | |
README.md
sitc
Exercises for Intelligent Systems Course at Universidad Politécnica de Madrid, Telecommunication Engineering School. This material is used in the subjects
- CDAW (Ciencia de datos y aprendizaje en automático en la web de datos) - Master Universitario de Ingeniería de Telecomunicación (MUIT)
- ABID (Analítica de Big Data) - 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: a 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-21: preprocessing and visualizatoin
- 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
- SNA: Social Network Analysis