Hi,@@varshasengineeringstuff4621 It would be very helpful if the math's behind ML topics is explained with derivations, such as clustering methods, algorithms, PCA, projection, self organizing maps etc., if you want topics I can give complete details as per Northwestern University syllabus. I am lagging behind that's why I refer UA-cam for easy explanations, Kudos to your efforts it did helped me.
Ok Anurag. Give me topics. I will try. You are from which university (India) Bcz I also gave LOR to my students in which Northwestern University is included.
How do we calculate initial probabilities of the HMM if I have the vocabulary set and tag set? For example if I am given a set of sentences in their normalised form their respective POS tags?
Thank you ma'am this is one of the complex prpblem in Nlp and you explained it so precisely! God bless you thank you once again!❤️🙏
My pleasure 😊
Your videos are circulating in our college's group❤️
Thank you so much. All the best for exam. God bless you!!! Plz check my playlist for other subjects
Thank you ma'am, I was able to solve the question based on this topic in exam because of your video.
Thank you
Greatest video ever ...it is helping learners to easily understand difficult concepts of NLP..Thank you so much mam.God bless you :)
It's my pleasure
Nicely explained, I should have found this channel 20 days earlier.
Thanks and welcome. Please share with your friends. Also give topics for video creation
Hi,@@varshasengineeringstuff4621 It would be very helpful if the math's behind ML topics is explained with derivations, such as clustering methods, algorithms, PCA, projection, self organizing maps etc., if you want topics I can give complete details as per Northwestern University syllabus. I am lagging behind that's why I refer UA-cam for easy explanations, Kudos to your efforts it did helped me.
Ok Anurag. Give me topics. I will try.
You are from which university (India)
Bcz I also gave LOR to my students in which Northwestern University is included.
Great explanation for NLP. It would be great if you provide PPT.
Very well explained all videos of NLP
getting very well and easy to visualize what u have taught thanks mam
It's my pleasure
Great Video ma'am.. Clear explanation.
Thanks for liking
Thankyou for the video ma'am , it's really very helpful
Most welcome 😊
Thanks a lot mam! u were my only hope
My pleasure 😊
Great explanation!! Thank you
Glad you enjoyed it!
How do we calculate initial probabilities of the HMM if I have the vocabulary set and tag set? For example if I am given a set of sentences in their normalised form their respective POS tags?
From the dataset, you can calculate initial probabilities
great explanation
Thank you so much dear!!!
7:52 "Why do we assign 'will' as a modal verb but not as a noun?"
You check corpus (training data)
Depending on its appearance, we care making as Modal verb or noun
Martin Justin can watch Will. [Will is noun here]
Nicely explained
Thanks for liking
why is the also considered as noun here?
Its all depend on how we assign POS tag to words. This is solved from exercise in which is considered as noun
thank you
You're welcome
7.52 "Will Justin spot Martin" why is Will a Model verb... the initial of Will is capital so it can be a noun too. Am i right?
No question of capital. Here we are checking pos of training data.
no Will is noun , mention in qp data
it's capitalised because its the first letter of the sentence, basic grammar