Machine Learning | Candidate Elimination Algorithm

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Candidate-Elimination algorithm performs a bidirectional search in the hypothesis space. It maintains a set, S, of most specific hypotheses that are consistent with the training data and a set, G, of most general hypotheses consistent with the training data. #ConceptLearning #CandidateEliminationAlgorithm

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Before solving problem we should explain our main goal that what are we going to achieve by solving it. which is missing and created a lot of confusion for me.

Faayez

you just calculated the most specific and most general boundary. you have to show the version space that is the intermediate boundary.

nikhileshsharma

great tutorial, keep up the good work . Thank you for this video.

aswinrajasekharan

Did not understand how you discard that

vikasbhandari

at 11:29 what is your motive what you saying sir please explain

mohdhasnain

I have confusion at the elimination point plz clear it

muhammadzakariya

At the end of I didn't know result that what was our primary goal for solving it.

Faayez

Sir also make videos on how to match the instances with hypothesis space diagram in machine learning asap

jeevapriya

In the middle of the video your explanation became very clumsy

sujoykodali

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