15 comentarios sobre “workshop Conociendo algoritmos de Machine Learning con R: k Nearest neighbor (kNN)”

  1. Only innovative business models that can solve large-scale markets and apply technology are attractive enough for global investors. Startups must observe the movement of the market, its «pain points» to come up with really effective solutions.

  2. 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.


  3. 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.

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