Desarrollo de un Prototipo de Software en Python con Técnicas de Machine Learning para el Análisis de Datos Astronómicos de Exoplanetas Recopilados por la NASA

ML techniques and algorithms have become very important in the field of astronomy and in many other fields, due to the enormous volume of images or data collected using different means, derived from the study carried out in each area of knowledge and that generates the need from working with large a...

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Bibliographic Details
Main Author:	Rincón Valencia, Kimberly Johana
Other Authors:	Moreno Briceño, Alexander
Format:	Trabajo de grado (Pregrado y/o Especialización)
Language:	spa
Published:	Universidad Antonio Nariño 2021
Subjects:	Algoritmos Machine Learning Exoplanetas Astronomía Big Data NASA Algorithms Exoplanets Astronomy
Online Access:	http://repositorio.uan.edu.co/handle/123456789/4472
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Description
Summary:	ML techniques and algorithms have become very important in the field of astronomy and in many other fields, due to the enormous volume of images or data collected using different means, derived from the study carried out in each area of knowledge and that generates the need from working with large and complex data groups (Big Data) to process, analyze and later make observations that allow extracting new knowledge to predict future behavior of said information.