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 # 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)
+- CDAW (Ciencia de datos y aprendizaje en automático en la web de datos) - Máster Universitario de Ingeniería de Telecomunicación (MUIT)
+- ABID (Analítica de Big Data) - Máster Universitario en Ingeniería 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')
@@ -10,12 +10,12 @@ For following this course:
 
 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
+* ML-1: Introduction to machine learning with scikit-learn
+* ML-2: Introduction to machine learning with pandas and scikit-learn
+* ML-21: Preprocessing and visualization
+* 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