Learn all about K-Nearest Neighbors - 'KNN' a killer supervised Learning algorithm. It uses 'proximity' to make classifications. Points in a multi-dimensional feature space are assigned to two or more categories. Unclassified points to be assigned to one of these categories are placed in this same feature space. A hyper-parameter 'K' is provided. The distances are calculated between our unclassified point and its 'K' Nearest Neighbors. The unclassified point will be assigned to the majority (if binary) or plurality (if three of more) category of these nearest neighbours.
KNN is one of the earliest - and simple - Machine Learning Techniques. Developed in 1951 it adopts the 'birds of a feather' principle.
KNN is extensively used in multiple industries; including FinServ, healthcare, eCommerce as well as in psephology and political campaigns. KNN algorithms are used to recommend products on Amazon, movie & tv content on Netflix and for online ad display.
#ai #artificialintelligence #machinelearning #knn #knearestneighbors
KNN K-Nearest Neighbours for Classification tasks in 2024
Теги
machine learningknnknn algorithmaiartificial intelligencewhat is machine learningmachine learning tutorial for beginnersmachine learning for beginnersk nearest neighborsartificial intelligence for beginnersk nearest neighbor machine learningk nearest neighbork nearest neighbor algorithmknn for beginnersk nearest neighbor for beginnersintro to machine learning and aiknn primerk nearest neighbor primerall you want to know about knn
