Probably Approximately Correct Learning-PAC Learning-Supervised Learning-Machine Learning-15A05706

Unit - 1
Supervised Learning : Probably Approximately Correct Learning -
PAC Learning
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[@WolvezBane]

Ma'am with all due respect. You have just read the ppt and have not explained much, truth be said, I would have learned all that you said just by reading your ppt.

[@WinningCSE]

Thanks for your msg, these are prepared last minute,, before exam and only for our students' examination purpose. Of course class room teaching is completely different from this teaching. Please take the notes and all the very best for your exam.

[@DjikstraAlg_S.I]

Please, I’ve got a couple questions upon 2nd watch. At the 10.00 min mark (example problem 1) is epsilon value the range at which an approximated output is correct? 2) is delta the accepted error range of a positive approximation result? 3) is PAC used a determinant to train for expected results (output guess) in machine learning? Sorry, for the lengthy message I’m new to machine learning and Computer science in general

[@sgee53]

Madam u keep on post ur video... Don't lose ur hope... Ur explanation is Vera level... There is no flaws on ur teaching... Keep going ❤️

[@WinningCSE]

Thank you SGee.

[@tutorialtpoint]

which text book your following.......please let me know

[@dreamypujara3384]

p(h2) here, 1- 3rd,4th and 9th is 0.8 not 0.7 then from where 0.7 came?

[@priyanshisingh4135]

how p(h1) and ph2 are coming ?0.8 and 0.7 ???/

[@johnnydepp9103]

There is no point in simply reading the stuff in the screen, no explanation 😑

[@senthilkumarsadhasivam6984]

Good work, presentation was nice, keep doing

[@WinningCSE]

Thank you for your support

[@sgee53]

I'm 7th like 🎉🎉

[@WinningCSE]

That's great... Just keep doing...

[@sudeshkumardhurwe9705]

Thanks a lot mam U are great............... Great module Also great explanation.......❤️🤝👍🥳🙏

[@sudharani-bi5ed]

good presentation will you provide ppt that you played in description

[@WinningCSE]

Yes I will

[@Friend01foru]

Thanks mam ,helped me a lot

[@WinningCSE]

Thats fantastic, keep doing

[@AnimeGamerLand]

Mam thank you soo much👍🔥🔥🔥

[@WinningCSE]

You are welcome kamlesh

[@seenipulavar6034]

👍👍👍

[@WinningCSE]

Thank you seeni pulavar

[@XT_5S]

Mam thanks for your try but you have just read the PPT and not explained

[@WinningCSE]

Ok next time

[@ramavishnu8078]

m > 4/e log 4/delta

[@ramavishnu8078]

i did'nt understand the last one madam can you help me please

[@yuvrajgoski7690]

My teacher also gets paid for reading the ppt👍

[@suryagamers1102]

lol

[@NadavBenedek]

Audio not good enough