1. Bayesian Belief Network | BBN | Solved Numerical Example | Burglar Alarm System by Mahesh Huddar

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1. Bayesian Belief Network (BBN) Solved Numerical Example Burglar Alarm System by Mahesh Huddar

You have a new burglar alarm installed at home.
It is fairly reliable at detecting burglary, but also sometimes responds to minor earthquakes.
You have two neighbors, John and Merry, who promised to call you at work when they hear the alarm.
John always calls when he hears the alarm, but sometimes confuses the telephone ringing with the alarm and calls too.
Merry likes loud music and sometimes misses the alarm.
Given the evidence of who has or has not called, we would like to estimate the probability of a burglary.

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I had no idea what my prof was talking about. You made it seem very simple. If anyone is reading this two hours before, the midterm, this video is gonna do the job for you!

shivanshshekhar
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Your are awesome, you makes everything simple and easy. Nice presentation and explanation ❤️

cleanbold
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Sir, since we calculated p(a), I think we can calculate p(not a) =1-p(a). We can avoid that long operation for p(not a).

senganir
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Yooo man, you saved my asss, man, respekt and uwaguha

dontbealoneru
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Good work...Could you please help me to understand how can I compute P(A\B, E) in details?

abrangealbertomavimbele
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How P(A/B', E') is 0.999 as already in question it is given when B and E both are false Probabilty is 0.001.

anupamgupta
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Sir are u considering the p(B)=0.001 and P(E)=0.002 or it is given in the question.

ramyaerusan
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Any explanation on how the Alarm probabilities were calculated sir?

anthonynchabeleng
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This video was very helpful! Thanks a lot!

omkarsk
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sir, how did u calculate p(A/B, E), p(J/A) and P(M/A) values??

ssatyasivamanasa
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Pls make a vedio on probabilistic methods

souravbhagat
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Sir kocham casual network problem nadathuga .Next week exam kocham sekarama poduga

dhanushvcse
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Good job.. Last moment preparation for exam 😉

Manu-ffvl
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Niceee work sir i love you uzzo genetics

blasenashvaz
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Is Bayesian Belief Network and Bayesian Neural Network same?

Priyadarshini-vzkg
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Sir one doubt sir the values will be given or we have to calculate ???

sreelekhajyothitatavarthy
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what if P(E) depends on some other node which is like D is connected to E just like how alarm is connected to earthquake

siddharthd
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Sir I didn’t understand how to calculate the green part, can you please explain

AyeshaSahelRahamathISE--