From 7315b681e41ad9dcb1c90f769476727efdc25162 Mon Sep 17 00:00:00 2001 From: "Carlos A. Iglesias" Date: Wed, 17 Apr 2024 17:21:21 +0200 Subject: [PATCH] Update README.md --- README.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index d4b1d4a..61606ed 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ # 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) +- 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') @@ -9,11 +9,13 @@ For following this course: - Run in a terminal in the folder sitc: jupyter notebook (and enjoy) Topics -* Python: quick introduction to Python +* 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