#15 Inductive Bias - Remarks On Version Spaces & Candidate Elimination Algorithms With Example |ML|

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[@junaidhashmat1427]

I have been trying to grasp this from book for past 2 hours. But explained it in space 15 mins. Thanks 👍

[@pranathipriya2461]

My first unit is done. You are amazing. Thank you.

[@sravyaganji3199]

finally, the exam is completed thanks for the series even though I don't know the answers to the 2 questions I wrote the related topics thanks overall went well!

[@youtubecomment1228]

What about result

[@Sai--reddy...]

Bro did u pass

[@youtubecomment1228]

@@Sai--reddy... waiting for result bro

[@sravyaganji3199]

Yeah i cleared the subject

[@anwarislive]

@@sravyaganji3199 send your notes if you have any, asap

[@LuffyConsolePlays]

good explanation , really helps one day batters like me , thanks a lottttt

[@rajshree8835]

Aap bhot ache se smjhate ho topic ko...... Thank you so much 😊😊

[@user-jg2tx5wu3c]

Thank you madam . Your lecturers are really helpful.
We need artificial intelligence videos.

[@vishnupv2008]

Inductive learning is similar to the generalisation concept in OOP. When you see a chinese person, and then say “look, people of china has straight hair”, it is inductive.

[@abhiney4073]

Thank you so much mam your lectures are better than my clg lectures

[@gangabhavanikasam1877]

Super explanation with notes thanks. If possible please explain parameters and hyper parameter

[@diviravi9148]

tq mam,it is also useful for my exam(today) tq so much

[@sistlachaitanya1222]

Excellent mam . big fan of ur explaination.

[@rockiggo]

Iam passed my exam by ur videos thanku madam

[@RG-Thulasireddy]

mam tomorrow im gonna write ML exam please make more videos on JNTUH ML syllabus

[@Shiva-ef4vv]

Same Here bro

[@sweetraprockers3045]

You truely amazing .just it was rock thank you so much guruji

[@ShashankDiwakar-vw4dq]

At 5:50 you forget that Sky also having only 2 attributes {Sunny & Rainy }...

[@kumarsekharyetcherla6394]

madam you are explaining nicely madam I have my phD exams in the month of March could you explain Bayesian Learning and Artificial Neural Networks and computational learning theory by JNTU Kakinada

[@anisenfashion]

Can I write "cement wala example" in my exam

[@MBindu-kc2nj]

Thank you so much mam.

[@ajithsunny4912]

mam u can share pdf notes .which was completed up to now .

[@aman_theCodeAddict]

Helpfull

[@harshadinu7266]

Mam do you have complete notes of ml pls mam I have my exam on monday

[@TroubleFreevideos]

I don’t have complete notes

[@GrEeCe_MnKy]

Creamy cement 😋

[@rishabhkandwal1392]

plz tell how possible instance =3*2^(5); from where 3 come I don't get it

[@arunaravikr1845]

Maam can u do on Bayesian Learning

[@pragyamishra9083]

Can you tell how to calculate version space

[@bodukuriwarshivani8530]

can you please send those all ML concepts as a pdf

[@akileshjs3846]

where akka?

[@raghavendrakatageri1578]

Hidden Markov Models, exams in a week

[@nandanjs421]

bda notes?

[@bussasrinath5615]

6:14

[@yalamanchivinay8389]

Vedio size kuda konchem thagginchadi please

[@kunwarsaa1704]

mam please change the background sound of intro or starting of your video its irritating

[@RawFromCam]

Hkbk College of Engineering
Cs( vtu)

[@yalamanchivinay8389]

Telugu lo cheyyandi explanation

[@anilkumaranilkumar5119]

Not understood this video

[@AnilKumar-tg1fk]

same
problem

[@akshaykumarreddyreddammaga2061]

Hello sister

[@akshaykumarreddyreddammaga2061]

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