Great explanation, just some positive suggestions: 1- you have a nice voice, please lower the music volume 2- please give example of the algorithm : what to input what to expect as an output and a simple example thank you very much
Most important aspect in your video is your voice which I feel is a God gift. Expand this video to give complete details about unigram, bigram, trigram, etc.
See I didn't understand much BUT her explanation was like butter smooth xd, she sounded like she has taken hell of a classes on " how to explain things in-front of camera" =_________+
Thank you for sharing your feedback with us. We genuinely appreciate hearing from our valued viewers like you. We understand that the background music might have been too loud and distracting for your taste. We apologize for any inconvenience caused.
would an n-gram model be the same as a bag of words? as in an unordered collection of the ngrams from a specific sample? The terminology in the literature I'm reading keeps changing
Great explanation, just some positive suggestions:
1- you have a nice voice, please lower the music volume
2- please give example of the algorithm : what to input what to expect as an output and a simple example
thank you very much
Really concise and informative video. I'll agree with the music suggestion, it's a bit louder than it should be.
awesome video great explanation
so you to watch learning video on you tube. I though u learn from books and make videos.
@@programmingpurpose1329 knowledge is knowledge bro..could be learnt frm anywhere
This video is really helpful. Please continue making this kind of videos. Thank you very much
Most important aspect in your video is your voice which I feel is a God gift. Expand this video to give complete details about unigram, bigram, trigram, etc.
Hello Nagaraj, we have noted down your suggestion.
Good diction (nice accent), clear message, excellent presentation. Thank you.
The music made it sound like an ad! The most informative ad ever!
This was a great simplified explanation, helped me get the concept right away!
Glad to hear that!
Awesome! short, sweet, and right to the point.
Glad you liked it, Sam!
Such a smooth explanation!! Thank you mam
background music is at times very high, except that a clear video
I agree. The music is distracting the main message.
finally got it, thanks!
simple and to the point
Bravo!
Probably the best explaination. Thank you🐳
thanks!
Really great introductory video
Keep following us for more data science content!
Excellent explanation, thanks!
Nice video, thanks!
Woww.. a good explanation indeed.
awesome video, great voice and explanandum
Super
See I didn't understand much BUT her explanation was like butter smooth xd, she sounded like she has taken hell of a classes on " how to explain things in-front of camera" =_________+
Thanx for such a nice explanation. small and covered everything I wanted to know : )
Question is how these grams help in text classfication problem
Thank you mam
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@@Datasciencedojo okey
Thank you for the great explanation! Can you help me out in understanding how n-grams can be used in Music Information Retrival?
Hello Shanmukha, there are a lot of decent research papers out there covering Music Information Retrieval.
How can I use the n-gram to write a better content? Do you have any advice?
Thnx
I'm contente with the música. Want Heard música . Good feeling of Flo. Rida.
Please reduce background music
Just WoW!!!!
هل يمكنك الكلام باللغه العربيه
thank you a lot...if you just talk a little bit slowly please :)
eeehree
man she is so cute, i got lost looking in her eyes, ok bye i have my exam tomorrow, thanx for explaining.
dude.........same here
this is nothing like talking to a real person...machines are not the way...
Background music really irritating. Way too loud.and detracts.
Thank you for sharing your feedback with us. We genuinely appreciate hearing from our valued viewers like you. We understand that the background music might have been too loud and distracting for your taste. We apologize for any inconvenience caused.
would an n-gram model be the same as a bag of words? as in an unordered collection of the ngrams from a specific sample? The terminology in the literature I'm reading keeps changing