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Hands-On Automated Machine Learning
book

Hands-On Automated Machine Learning

by Sibanjan Das, Umit Mert Cakmak
April 2018
Beginner to intermediate content levelBeginner to intermediate
282 pages
6h 52m
English
Packt Publishing
Content preview from Hands-On Automated Machine Learning

What is k-Nearest Neighbors?

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.

Euclidean distance is calculated as the square root of the sum of the squared differences between two points. 
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Publisher Resources

ISBN: 9781788629898Supplemental Content