3.3.1 Multiclass Classification One vs all by Andrew Ng

Multiclass Classification
Machine Learning - Stanford University | Coursera
by Andrew Ng
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[@swathys7818]

Thank you for great explanation Sir!

[@samueldushimimana3831]

well done Andrew

[@IamPdub]

Great video, can you make a video on Stemming with Multiclass Classification?

[@elbrenantonio5256]

Any video for multiclass entropy and entropy. Please show calculations sample. Thanks.

[@ashwiniabhishek1504]

Great video

[@ShahramDerakhshandeh-sf7ld]

That's a great.❤

[@shahadp3868]

Nicely done it sir...what about one vs one

[@akashprabhakar6353]

I did not get one thing...Suppose for a classification we get the max probability..then we wd be classifying only one class separately and rest 2 as another...but how are we classifying all 3 separately??

[@randomcowgoesmoo3546]

Thanks Andrew Yang, I'll definitely vote for you.

[@LouisDuran]

wrong dude, the other guy wants to give you UBI. This guy wants to give you OVA

[@reachDeepNeuron]

instead of using superscript and subscript terms , had it been explained like start with the gist of what this algorithm does and then using math plus superscript , would help holding the audience and also motivating the audience to continue watching

[@patriots7400]

why you shorten your last name? I want cite you!

[@punkntded]

What does theta represent?

[@ofathy1981]

learning rate

[@ByteSizedBusiness]

@@ofathy1981 alpha is the learning rate in gradient descent .... theta is a parameter like weights in NN

[@MelvinKoopmans]

@@ofathy1981 Theta does not represent the learning rate, instead it represents the parameters of the model (e.g. the weights). So P(y | x; θ) translates to English as "The probability of *y* given *x* , parameterized by *θ* ".

[@amirdaneshmand9743]

That the parameters of logistic classifier which is trained separately for each case

[@bismeetsingh352]

Don't you have legal issues for copying content from coursera

[@thesteve0345]

I am pretty sure coursera copied from his content.

[@GelsYT]

he is coursera

[@jaideepsingh7955]

@@GelsYT hahaha true..