You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Carlos A. Iglesias e70689072f
Merge pull request #4 from gsi-upm/dveni-patch-1
1 day ago
lod Fix typos 7 months ago
ml1 Added requirements file 6 months ago
ml2 Update 3_3_Data_Munging_with_Pandas.ipynb 2 days ago
ml3 description about parameter h added 6 months ago
ml4 Updated notebooks 6 months ago
ml5 Updated notebooks 6 months ago
nlp Cambiado nombre diccionario 5 months ago
python Updated notebooks 6 months ago
rdf Add print_function for py2 7 months ago
.gitignore Added gitignore 3 years ago Add Makefile 6 months ago
Makefile Makefile updated 5 months ago Updated README 1 year ago
logo.jpg Add SPARQL notebooks 1 year ago


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:


  • 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