April 2018
Beginner to intermediate
282 pages
6h 52m
English
KNN is one of the most straightforward algorithms that stores all available data points and predicts new data based on distance similarity measures such as Euclidean distance. It is an algorithm that can make predictions using the training dataset directly. However, it is much more resource intensive as it doesn't have any training phase and requires all data present in memory to predict new instances.
