Machine Learning with k-Nearest Neighbors

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K-nearest neighbors, while perhaps the simplest possible machine learning algorithm, is extremely useful for a variety of tasks. In this video, I explain how it works and demonstrate its performance on handwriting recognition.

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Комментарии
Автор

Awesome! So happy you mentioned the distance formula. Simple formula, yet so much is derived from it.

rickhernandez
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Thanks so much! I had a hard time figuring out what the distance between two images actually was, it's much clearer now!

nicolassoler
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hello, can you explain how to built an app for handwriting recognition like yours

karoudiallo
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Cool stuff!!
Can u please make one video on implementation part of it.
It would really help us.

rishikeshct
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awesome explication, thanks a lot, can you advice me which types of small applications that i can build with this algorithm ?

ahmedrebai
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I thought I was smart... until I came across your channel *subscribed*

JerryStyler
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Hi, Would you tell me how to run your code (go, html, java script)?Do I need Apacha or not?it is very fun to run it in browser!!!

junyang
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Hey! Nice content there!

I would like you to clarify something for me. Using this technique, every time you write a number in your app, it calculates the distance with the 500 x 10 images in the database each one having 784 points? If so, it seems like a ridiculus amount of calculation.

Mafiosaboy