Ander Fernández profesor del programa de Big Data y BI de la universidad de Deusto, nos enseñó en este workshop qué es el algoritmo KNN, cómo funciona, sus problemáticas y casos de uso. Para ello, lo programo paso a paso y desde 0 en R, además de ver las librerías que permiten su aplicación de forma sencilla.
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He KNN or k-nearest neighbors algorithm is one of the simplest machine learning algorithms and is an example of instance-based learning, where new data.
He KNN or k-nearest neighbors algorithm is one of the simplest machine learning algorithms and is an example of instance-based learning, where new data.
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If you are thinking of a simple, easy-to-implement supervised machine learning algorithm which can be used to solve both classification as well as regression problems, K-Nearest Neighbor is the perfect choice. Learning K-NN is a great way to introduce yourself to machine learning and classification in general. intrusion detection and anomaly detection.
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Startups must observe the movement of the market, its «pain points» to come up with really effective solutions.
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Que excelente artículo. ES una maravilla leer esto tipo de artículos y poder aprender más cosas. Este tipo de algoritmos no lo conocía. Guardare el post para poder leerlo más a menudo y así entender más. Grcias
Este tipo de algoritmos KNN que clasifican cada dato nuevo en el grupo que corresponda, según tenga k vecinos más cerca de un grupo o de otro, es una de las técnicas utilizadas en la gestión de datos en juegos.
Es curioso como ha pasado el tiempo y este artículo toma relevancia como la actualidad de IA.
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