Linear Regression | Basis Functions

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This video will give you an introduction to the basics of Basis Functions in linear regression, a highly relevant topic for Artificial Intelligence and machine learning!

It was created in the context of my Neuro-informatics course at university.

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00:12 - Introduction to linear regression
02:38 - Models in linear regression
04:45 - Basis functions
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i love you. I've been pondering about how a "linear" model can overfit for so many days and now it's all beautiful again.

sidjindal

I come back to this video all the time, what a great explanation. Thanks for the breakdown

VictoriaOtunsha

Junge, was fuer ein starkes Video du da produziert hast! Besser koennte eine Arklaerung kaum sein, und dazu noch diese 1a Animationen :D

christophkrass

the best video i've seen on this topic, thank you!

matheusmaldaner

it's a concise and informative video! Recommend to watch

nevillelam

very good visualization!! helps me a lot

polarbear

Thanks for wonderful video. I have one question regarding gaussian basis function. So if an input data point has 3 input features then do we have basis function for each feature (i.e., three gaussian function one for each feature)? and if yes, what will be by mean and standard deviation of each gaussian?

sagaradoshi

Great video and explanation, good to supplement understanding from the MLPR course at University of Edinburgh

TheRaspberryPiGuy

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