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dcida2020ii's Introduction

Astrofísica computacional--Análisis de Datos 2020 II

DCI-UGTO

Alma González

email: [email protected]

TEMAS

1.- Programación básica en pyhton, manejo de repositorio y visualización.

2.- Adquisición de datos y tipos de variables (encuestas, diseño de experimentos, observables, etc.)

3.- Inferencia estadística.

a) Inferencia clásica

b) Inferencia Bayesiana

4.- Mineria de Datos y ML

a) Estructuras en datos (funciones de correlación, busqueda de clusters)

b) Reducción de dimensiones 

c) Clasificación

Evaluación

-- 50 % Tareas/actividades semanales. Github organizado. Se revisa continuamente. -- 50% Proyectos del curso. Tentativamente 3 durante el semestre.

-- Tareas y proyectos preferentemente en *Binder  
Si se presentan en pdf deberán añadirse los scripts o códigos.

Bibliografía

- Statistics, Data Mininig, and Machine Learning in Astronomy. https://www.astroml.org
- Python Data Science Handbook https://jakevdp.github.io/PythonDataScienceHandbook/index.html

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