Bays Theorem in hindi | solved example | Artificial Intelligence | #26

Bayes' theorem is a formula that describes how to update the probabilities of hypotheses when given evidence. It follows simply from the axioms of conditional probability, but can be used to powerfully reason about a wide range of problems involving belief updates.
A real-world application example will be weather forecasting.

[@fasial3]

The simple solution is;
There are two bags A and B.
Then the probabilty of bag A chosen is = P(A) = 1/2
The probability of bag B chosen is = P(B) = 1/2
Total bolls in bag A are = 5
The probabilty of Red boll chosen, in bag A is = P(Red/A) = 2/5
The probabilty of Blue boll chosen, in bag A is = P(Blue/A) = 3/5
Then
The the probability of Red boll chosen from A bag will be = P(A) X P(Red/A) = (1/2) X (2/5) = 1/5

[@rohanramgude7874]

Super Thanks bro :)

[@theindigenousspirit]

Very awesome video sir!!! Also a big hello from WINNIPEG, MANITOBA! Canada boy here! 😇👍

[@AnchalSingh06]

Very easy way I understood Bayes' theorem. I was using it in data mining. Please post a video for SVM.

[@kancharanaabhishek5517]

Super sirrr ..and saw many videos for base theorem this was very terrific video

[@aqsabilal7563]

How is probability of bag chosen is A=2/5
Probability =likely event/sample space
And that is equal to=1/2
Since we have only to chose 1 bag out of 2 not out of 5

[@parthtyagi2086]

Its probability of red ball if bag A is already chosen.

[@mountvalleyevents596]

Thanks for the video bro, got the concept in more precise way because of you.

[@mssweetncute]

Watch all his videos at speed 1.25x

[@mr.melomaniacnextdoor6840]

I see what you just did there ..
You copied this comment from his previous video!

[@UmarKhan-cp1fd]

Thanks

[@dvnovov7850]

tysm!!!

[@akshaypatel1362]

Gotta go with 1.75 I don't have much time

[@kranti_bhingarde]

Tq👍♥️

[@asfiasamreen5607]

very well explained... thank you very much sir!

[@wrtitingwave]

State the Baye’s rule. A producer purchases parts of machine from two suppliers
B1 and B2 And he stores the purchased parts in big urn. The producer knows
that his past experience that 9 % of the parts purchased from B1 and 5 % of the
parts purchased from B2 are defective. The supplier supply parts to the producer
in proportion 4 : 1. A part is chosen at random From the urn and found to be
non-defective what is the probability that the part has been Supplied by B1 ?

[@rahulrajgupta03]

Please add topic- Maximum a posteriori, Maximum likelihood hypothesis

[@MM14308]

fuzzy controller & fuzzy sets & concept of fuzzy logic & mambership function function in detail ka vedio dal do please

[@durgeshchandratripathi2046]

Very helpful ..thanks soo much sir

[@vasanth.s1658]

Can you please make the video in English? so that other people can also make use of it.....

[@nikitaswarnkar6165]

Sir dempster shafer theory bataiye pls

[@LOL-yn6xz]

thanks a lot sir, it is very helpful

[@devil0875]

osm brother ek dm mast saare questions solve horee h ty

[@venkatachaitanyayadla1794]

Please turn off the flash light from next time onwards

[@pragyas3473]

sir, u are just awesome .

[@BMfhjjjj]

Sir upload dempster shafer theory also please

[@tusharrathod5660]

Plz make one video ..belief networks in ai

[@rashmipatange1770]

Nice Concept Explanation.... good work keep doing......👍👍

[@SaifAli-hf5po]

sir can you please ,explain with one example, and give some problems to solve

[@suraj22224]

plz upload Bayesian belief network

[@PragneshPatel05]

yes

[@johnbangla100]

excellent explanation man

[@MANIDEEP08]

Thanks for the explanation

[@pankajbehera5035]

Please make complete video of ai

[@urvigalani3575]

explained very well.

[@chetankomre5307]

Please make video schema theorem

[@vivgpt]

bhai lightening bohat jada ha..

[@this_rishi]

Exactly

[@GauravSharma-je4rj]

Thunderstorm bhi

[@surajs2870]

Nice explanation

[@sahilbhasin4246]

Is bayesian theorum and bayesian decision theory a same thing ?

[@mdsaberul5559]

How to define the relation , A={1,2,3,4}

[@rohanrags694]

Great Work.

[@Himeshkulshrestha]

linear regression equation kaise banate hai uski video daldo

[@sekharsamanta6561]

Excellent!

[@shubhadhang2409]

hi sir can you please tell me how to write cube prolog program using Cut operator

[@premrajmehra1050]

Thank you so much sir

[@MM14308]

sir basic structure of fuzzy controller ka vedio dal do please 😅😄😥😥😖😖😟😟😞😞

[@Chandankumar-qw6hb]

thanks

[@shaileshdeshmane4024]

Sir plz conditional probability video banao

[@samshah7687]

nice explaibation

[@easytalk349]

Awesome Bro...

[@komalkaur6327]

plz explain what a probability

[@pkbvandanadiary]

plz explain artificial neural network topic

[@computerprogramer806]

sir Thanku☺

[@ayushman_sr]

i dont know how your video came 1st in search results, even if there is spelling mistake in title. Bays

[@rajatvarshney2721]

ye naive bayes hai yaa Bayesian network ?

[@dhruvinpatel6536]

asm bro ur so much help for me
thnk u

[@amitdangar324]

Sir plz make videos on probability and statistics 3130006 gtu in CE/IT BE 3rd Sem

[@ahinsakukey9835]

Awesome video

[@mdsaberul5559]

How to define a cross matrix of relation

[@shrutisinging]

Pure video apko hi dekhte rahe gaya. Very handsome man,

[@mrsagar7130]

Use darker pen or colored ones cuz it is not visible

[@AsifAsif-qk2nt]

Condition probability or Bayes theorem r dfrnce ki

[@gauravbhandari1184]

Helpful

[@pablochocobar08]

You saved my semesters

[@BhanuPriya-gg4sb]

Nice sir

[@anilkumarsharma8901]

artificial intelligence ka use karwa do inverse vedic universe main phir duniya following karegi

[@satenderking]

bro brightness kam kro.......

[@rahulbhai1214]

sir please upload dst theory

[@anjaliasn]

Sir concept to smjh gyi pr likhungi ky
Notes provide kriye

[@rnghosh1136]

Strongly Agree

[@RContentYT]

Book se padho theory smjh aa jaayegi video dekhne ke baad theory aasani se smjh aa jati h

[@sagarrana2859]

what is your whiteboard size?

[@vipinyadav1034]

Explain well

[@mohammedshabaz7095]

Use dark ink pen not visible

[@akshaydadwal6716]

Thanks man 🙏

[@rameshbaberwal3667]

Plz make video on BAYESIAN NETWORK

[@shubhamchaurasia3234]

Nice

[@reeyasingh372]

So good

[@geekysunny01]

bayes he to bays kyu likha hua he ?

[@abhijeetmishra2129]

Bhii kuch clear dikh nhii rha

[@asmr_hills]

Bhai pura solve karke dikha dete ek baar

[@amiyasingha4954]

LIGHT IS TOO MUCH. CAN'T SEE ANYTHING.

[@amitangshudasgupta1709]

Bay*e*s

[@RajuKumar-qi9rs]

Video dikh ni rha lite jyada h

[@anilkumarsharma8901]

reverse universe ka use karwa do phir sari duniya follow karegi

[@ghadiraljafen8902]

please do it in English :(

[@kamalkhosla7192]

👍👍

[@tradingyolo1292]

What is the probability to understand you if your accent is understandable ? You're doing a good thing here but the accent maaannn

[@shankhadeepdeb8544]

bayes hotahai

[@nikunjpatel795]

Light me video mat bana ..board pe kuch dikh nahi raha je

[@hamarabharatvlog4682]

Marker is not good

[@zer0ni9e94]

nice one

[@virendraraghuwanshi7612]

Ye galat kyu lg rha he..

[@rupamkumari3713]

Sir kya chhkas aap pdhate hai thanks sir

[@rupamkumari3713]

Lekin kabhi kabhi aap confuse kr dete hai mujhe.

[@nayannareshgourkar7362]

brightness kum kr bhai

[@saikatadhurya5379]

hmmmm sooo nice bro

[@aliphulazam1590]

too much light

[@Himeshkulshrestha]

first

[@Himeshkulshrestha]

yo abdul

[@WellAcademy]

+Himesh Kulshrestha
Thank you

[@scientificmuffin6940]

Bayes*

[@himanshupatel7063]

Too much 💡..

[@chemistrywaalla]

Not good

[@premprakash5126]

Nice