K - Nearest Neighbors - KNN Fun and Easy Machine Learning

K - Nearest Neighbors - KNN Fun and Easy Machine Learning
►FREE YOLO GIFT - http://augmentedstartups.info/yolofreegiftsp

►KERAS Course - https://www.udemy.com/machine-learning-fun-and-easy-using-python-and-keras/?couponCode=YOUTUBE_ML
►Hands on Machine Learning with Tensorflow

https://augmentedstartups.info/HandsOnMachineLearning
In pattern recognition, the KNN algorithm is a method for classifying objects based on closest training examples in the feature space. KNN is a type of instance-based learning, or lazy learning where the function is only approximated locally and all computation is delayed until classification. The KNN is the fundamental and simplest classification technique when there is little or no prior knowledge about the distribution of the data. The K in KNN refers to number of nearest neighbors that the classifier will use to make its predication. In this video we use Game of Thrones example to explain kNN.
------------------------------------------------------------
Support us on Patreon
►AugmentedStartups.info/Patreon
Chat to us on Discord
►AugmentedStartups.info/discord
Interact with us on Facebook
►AugmentedStartups.info/Facebook
Check my latest work on Instagram
►AugmentedStartups.info/instagram
Learn Advanced Tutorials on Udemy
►AugmentedStartups.info/udemy
------------------------------------------------------------
To learn more on Artificial Intelligence, Augmented Reality IoT, Deep Learning FPGAs, Arduinos, PCB Design and Image Processing then check out
http://augmentedstartups.info/home

Please Like and Subscribe for more videos :)

Видео K - Nearest Neighbors - KNN Fun and Easy Machine Learning канала Augmented Startups