Lecture 21-Bayesian Belief Networks using Solved Example

This video is about Bayesian Belief Networks.
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[@rashidaz1582]

I just want to say that I am really grateful for your amazing explanation of BBN.

[@LuisCarlosManrique314]

Thank you so much for this clear explanation on BBN!

[@baranates6652]

Very clear explanation, straight to the point, thank you for this wonderful job Ma'am.

[@bhujangareddybhavanam7430]

Very clear explanation madam

[@nitishbhatt917]

Thankyou for the organized notes!!!

[@thehijabwear6922]

P(R') is just 1-P(R)

[@StreetArtist360]

Great explanation. Thank you very much.

[@testshade2554]

Very well explained!

[@user-fg7zm6se1o]

many thanks, is not P(W|R) = 0.95 ? at 6:43 lecture time regards...

[@rajachandru1414]

Plz post on Gradient Ascent learning of the BBN also. Well explained

[@goelnikhils]

Excellent Explanation. Thanks

[@RyansEntertainment]

Thanks for the explanation ma'am.

[@Wagh_Shashank]

I just want to say Thank You!!

[@vedbhosle5798]

can we do -> P(not raining) = 1 - P(raining)

[@sahilgupta9378]

amazing explanation

[@emilsebastian3998]

Thank you !

[@ushakiranmelasthri2933]

Thanks ma'am..... you saved my life

[@dheerajkumarsiripalli9363]

Thanks for such a nice explanation mam ❤ saved my phone exam prep tonight

[@pvjaswanthreddy9643]

Subscribed for ur flow of english..

[@lithilefer]

Superb flow of English

[@abhijitmanna4524]

maam we can directly calculate the probability of not rain by subtracting 1-P(rain)

[@dkkektmsnsndm2084]

Very good explanation mam. Love from Türkiye

[@shaon6996]

Very well explanation..

[@anthonynchabeleng2664]

How did you calculate the conditional probalitity table under Rain?

[@bushan515]

Many thanks madam. I could learn well.

[@bmyalbara2]

Can you please explain how came up with the values of the probabilities in the conditional probability tables? How do you quantify probabilities?

[@SaniyaKhullar]

kzbin.info/www/bejne/q6GtkJRtjpx9jck Please see this for more insights!

[@krnl1304]

It is usually given in the question

[@rajpriya9597]

Thank you so much mam but can you say how you got this probability values of windy and cloudy

[@srinidhi60]

Madam, by any chance can you please share the written notes ? It will be hell lot of help for me..

[@deepakchakkaravarthi4131]

Nicely explained

[@shannthakumarkrishnakumar1131]

Thank you so much

[@ramchinnaswami1330]

Mam what an explanation, heads of

[@SabariMuruganSivakumar]

P(Not Rain) can be computed easily as 1 - P (Rain)

[@user-fq7jc1mz2k]

b) Calculate Probability of work holiday and wet grass, if no wind, not cloudy, but rain. please provide answer for this

[@vijayreddy3423]

Really good vedio

[@kaviyarasus1234]

It was very helpful me

[@tejapandruvada7164]

Good explanation

[@nimishakhadilkar1491]

Thank you🙏🙏🙏

[@HEMANANDHINISPHD]

clear explanation mam

[@fatemakhalfan6980]

Thanks!

[@XuanJr.]

thanks!

[@gkbyte]

Great video, madam! A quick question, Can we not calculate P(not rain) = 1-P(Rain)? 1-0.00252=0.99748?

[@subalalithacn5827]

thanks so much. yes you are right.

[@tejapandruvada7164]

Yes bro we can do like that

[@shivanandakitti]

excelent

[@abrangealbertomavimbele7315]

How do you calculate the probability of CLOUDY(0.002) and WINDY(0.001)?

[@peanutsee]

These are given in the question. Cloudy and Windy do not have parent nodes, therefore, their table only contains the prior probability P(X).

[@yashravuri1239]

How we calculate the probability of rainy?

[@Chegg.learndim]

Can we write for Data Mining

[@ankitmishra7604]

Will you please send these notes?

[@TheNDSharma]

I ll send my teacher over here.

[@kaviyarasus1234]

Madam can you please explain optimization algorithm like swarm intelligent, Whale,ANT,PSO

[@subalalithacn5827]

will try to sir

[@sachinstl23]

Can you tell from where you found the probability values ? Like P(w)--> 0.001 and p(c)-->0.002 so on.

[@ang5510]

its in the table 4:00

[@tiagoisaias1468]

just wanted to say that P(-R) is 1 - P(R), you don't need to do all those calculous again

[@Dipanajan]

you speak so fast. please slow down for gods sake.

[@tanjimbinfaruk9145]

P(R') is just 1 - P(R)