Word Embedding - Natural Language Processing| Deep Learning

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Krish Naik

Krish Naik

Күн бұрын

Пікірлер: 134
@ruchitagarde4642
@ruchitagarde4642 4 жыл бұрын
I'm literally binge watching your videos like Netflix!
@zahraaberjawi2541
@zahraaberjawi2541 4 жыл бұрын
This is amazing! You literally made the topic interesting, I never got bored throughout the entire video! I'll definitely stick to your channel in preparing for my thesis!
@1217Yangli
@1217Yangli 3 жыл бұрын
you are 200% better than my professor in explaining Word Embedding
@dhanushsabbisetty9379
@dhanushsabbisetty9379 2 ай бұрын
Really a great explaination. I just played only one video but after that I've watched 4 more Countinous videos which helped me lot to prepare for my interview I was going have tomorrow. Share your divine knowledge for us sir!
@deepaktanna
@deepaktanna 3 жыл бұрын
Thanks!
@rajathslr
@rajathslr 2 жыл бұрын
I thought I will not learn Deep Learning because it is too much complicated, you have just explained in an effective way, within a week, LSTM skill will be updated in my resume!
@bharathiramkumar166
@bharathiramkumar166 4 жыл бұрын
This is the first subscription I have made in my you tube...that's only because of your teaching skills ....u make any topic very interesting and provide excellent information on research and it's techniques... Please upload videos on autoencoders .
@thunder440v3
@thunder440v3 4 жыл бұрын
Same here! 😊😊
@premranjan4440
@premranjan4440 3 жыл бұрын
Word Embedding is such a masterpiece!
@patrickadjei9676
@patrickadjei9676 3 жыл бұрын
I don't usually subscribe to youtube channels ... but this first video I watched from you got me.
@shivamkumar-qp1jm
@shivamkumar-qp1jm 4 жыл бұрын
Most hot topic of the NLP I learnt it after giving too much time I am sharing what I learnt For embedding we use One hot encoding technigue Word2vec technique Embedding layer of keras technique after pad sequencing You can use it for recurrent neural network
@informetica7394
@informetica7394 4 жыл бұрын
Can't wait for the next video..... Thanks A Lot .....
@josephselwan1652
@josephselwan1652 3 жыл бұрын
I think I found a gem! Thank you Krish! You really make it so easy to understand.
@DS_AIML
@DS_AIML 4 жыл бұрын
@Krish- How you got this features(like Gender,Royal,Age etc).is this features mention any where in word embedding
@Utkarshkharb
@Utkarshkharb 3 жыл бұрын
His channel and Statquest are 2 of the best resources for ML and Data Science on KZbin.
@puneetbansal8567
@puneetbansal8567 2 жыл бұрын
Amazing way of teaching sir !! Great work. Thanks alot
@anjalia8792
@anjalia8792 3 жыл бұрын
Keep posting great content. It's worth sharing your content with everyone! Thank you!!!
@usashichatterjee6489
@usashichatterjee6489 3 жыл бұрын
Sir your explanations are fantastic
@DS_AIML
@DS_AIML 4 жыл бұрын
Nice ,Clean discription. Well Done ,Krish !!!
@cesaranzola4828
@cesaranzola4828 2 жыл бұрын
Awsome video!! You are an excellent teacher wish I had a teacher like u at my Master program right now!
@prakharsingh9279
@prakharsingh9279 4 жыл бұрын
You are simply amazing sir....hats off to you💯💯
@WoodyDataAI
@WoodyDataAI 2 жыл бұрын
Super great! Thanks very much. Krish. It is very good learning video, instructor Krish is great, passionate, exciting. The lesson is very interesting.
@ravindarmadishetty736
@ravindarmadishetty736 4 жыл бұрын
Wonderful Video Krish
@Trouble.drouble
@Trouble.drouble 4 жыл бұрын
Thanks krish
@kumarpurantripathy1145
@kumarpurantripathy1145 2 жыл бұрын
Excellent! Love from USA
@GhizlaneBOUSKRI
@GhizlaneBOUSKRI 3 жыл бұрын
Krish, you save my life every time
@PriyaM-og6ji
@PriyaM-og6ji 3 жыл бұрын
These videos are adding up my knowledge. Thank you, @krish naik sir!
@attitudekillersaqib
@attitudekillersaqib 8 күн бұрын
Great explaination ❤
@Ogunbiyi_Ibrahim
@Ogunbiyi_Ibrahim 6 ай бұрын
Thank you for sharing this wealth of knowledge with us. TBH I’ve been finding issues in grasping how word embedding works. It’s so clear that they are not as straight forward as basic vectorization approach like BoW and TF-IDF. Nevertheless, I gained something from this video
@Trouble.drouble
@Trouble.drouble 4 жыл бұрын
Your speciality is teaching from scratch sir
@gautammalik1911
@gautammalik1911 2 жыл бұрын
you are a gem man , love your style
@machaindrakumar3464
@machaindrakumar3464 6 ай бұрын
Super sir I enjoyed before the exam
@nagesh866
@nagesh866 4 жыл бұрын
What an awesome explanation. Thank you @Krish
@Rajesh-xk5kv
@Rajesh-xk5kv 3 жыл бұрын
Every day im watching atleast 5-6 videos these days
@mahikdm
@mahikdm 10 ай бұрын
Perfect explanation... thanks a lot
@xiaoweidu4667
@xiaoweidu4667 4 жыл бұрын
applauding for you !! thank you again!
@mohammadkazemibeydokhti5768
@mohammadkazemibeydokhti5768 3 жыл бұрын
Thanks for the tutorial on word embedding models. I wonder how are features selected in these models? I think in some particular cases having control on customizing these feature might enhance the chance of getting more similar words than just using the pretarined ones.
@Lotof_Mazey
@Lotof_Mazey 2 жыл бұрын
Sir Kindly guide - How can I use Pre Trained word embedding models for local languages (or languages written in Roman format) that are not available/trained in the pretrained model. Do I have to use an embedding layer(not pre trained) for creating embedding matrices for any local language? How can I get benefit from pretrained models for local language?
@abidtaqi3842
@abidtaqi3842 4 жыл бұрын
Subscribed ! Thanks a lot. Hopefully your videos will be helpful my thesis project !
@SameerSk
@SameerSk 4 жыл бұрын
sir can you please tell me how to choose number of embedding dimensions? For eg., vocab_size = 10000,max_length = 120, and embedding_dim = ??
@FunFusionTrajectory
@FunFusionTrajectory 11 ай бұрын
Sir that's amazing 😍😊
@vakarsh
@vakarsh 4 жыл бұрын
Try showing embedding projector. It’s an interesting way to visualise embedding and sparks interest.
@christinavalavani5242
@christinavalavani5242 2 жыл бұрын
thank you Sir. please make a video explaining how a sentence is beeing translated with the neural system. but with an example. thank you again you are amazing.
@ltrahul1016
@ltrahul1016 2 жыл бұрын
Good explanation krish sir
@giopez
@giopez 3 жыл бұрын
Good content, keep doing videos like this!
@thesistersrock2538
@thesistersrock2538 4 жыл бұрын
Nicely explain Thanks for making things clear
@dharmendrathakur1487
@dharmendrathakur1487 3 жыл бұрын
You have done a great job, There are students like me, who really need such explannation for getting a rough image...atleast thanks a lot
@dharmendrathakur1487
@dharmendrathakur1487 3 жыл бұрын
rough image...means, I got an idea and now i can study more on it and try to clear the image, created by your wonderful explannation
@Fatima-kj9ws
@Fatima-kj9ws 3 жыл бұрын
Your explanations are great, thank you
@shjsjssjksksa6452
@shjsjssjksksa6452 3 жыл бұрын
You are amazing❤️
@professorbhumika
@professorbhumika 4 жыл бұрын
LSTM Preactical session also required Sir
@eswarank3127
@eswarank3127 4 жыл бұрын
please make a video on dimensional reduction technique in order to reduce into 2 dimension from more dimension (coding)
@arkimanago5284
@arkimanago5284 3 жыл бұрын
Good day, may I ask how to define specific dimensions of features (for example, I want to extract linguistic features such as part of speech tagging, word density, and word frequency) that is going to be vectorized?
@muhammadnomankhanassistant3793
@muhammadnomankhanassistant3793 3 жыл бұрын
Excellent tutorials .
@sandeepkumawat4982
@sandeepkumawat4982 4 жыл бұрын
@Krish Naik at 7:08 i would like to know if you can share some material for the technique that we use to relate features such as gender to the words like boy and girl not to the apple and mangos but I have doubts what technique we use to make possible a machine learn the relation between features and words. Thanks
@vipulritwik
@vipulritwik 4 жыл бұрын
Very well explained
@BuddhiChathurangaTheAmigo
@BuddhiChathurangaTheAmigo 4 жыл бұрын
Great explanation
@kin_1997
@kin_1997 Жыл бұрын
amazing brother thank you
@mavaamusicmachine2241
@mavaamusicmachine2241 3 жыл бұрын
Amazing explanation thank you!
@rohit_mondal__
@rohit_mondal__ 3 жыл бұрын
good explanation sir
@priyabratamohanty3472
@priyabratamohanty3472 4 жыл бұрын
You haven't made any video on gradient boosting yet...Actually.Boosting series is incomplete. Please make video on GB technique
@ArshdeepSingh..
@ArshdeepSingh.. 2 жыл бұрын
How do we decide features (gender, age...) in this technique
@yukeshnepal4885
@yukeshnepal4885 4 жыл бұрын
no words for you sir.. 👌👌 would you please make a video on gradient boosting and Xgboost ML algorithm with all maths stuffs....
@krishnaik06
@krishnaik06 4 жыл бұрын
Will upload soon
@amitmodi7882
@amitmodi7882 4 жыл бұрын
Simply Awsome.
@sandipansarkar9211
@sandipansarkar9211 4 жыл бұрын
Thanks krish for the video.
@ukc2704
@ukc2704 4 жыл бұрын
Nice explanation sir ,always waiting for new videos. we are looking for your book publication.
@shaktisharma5529
@shaktisharma5529 4 жыл бұрын
Sir please make a video on sentiment analysis using VADER.
@xiaoweidu4667
@xiaoweidu4667 4 жыл бұрын
very good, thank you sir !
@dominikdominik5767
@dominikdominik5767 3 жыл бұрын
thanks this is awesome
@parukadli
@parukadli Жыл бұрын
superb ... Is the word embedding fixed or generated for every dataset given for training ?
@karamvirsingh5670
@karamvirsingh5670 3 жыл бұрын
Hi Krish, First of all thanks for making this content. I have some doubts: 1. In predicting analogy,(King->queen), if we take up some other feature instead of gender, then result may not be necessarily true(or it selects the best feature to give results)
@mashakpatel4962
@mashakpatel4962 4 жыл бұрын
sir please make video on Data scientist carrier degree is required or certification is enough for job
@borysprydalnyy8106
@borysprydalnyy8106 3 жыл бұрын
I would like to know how can be obtained that coefficients in vertical columns automatically and what scientific assumption and premisses should be used for doing it. As I see now, it can be done manually by logical consideration. Thanks!
@masterstats8064
@masterstats8064 4 жыл бұрын
Hi krish, What is the parameter update equation in SVM and logistic regression?
@santoshsaklani5019
@santoshsaklani5019 2 жыл бұрын
Sir kindly make video on how we can embed source code into vector and use it for Training DL model
@ibrahimahmethan586
@ibrahimahmethan586 Жыл бұрын
excellent
@DeepakKumar-uz4xy
@DeepakKumar-uz4xy 4 жыл бұрын
Waiting for your facenet embedding... and clustering process
@mashakpatel4962
@mashakpatel4962 4 жыл бұрын
what kind of mathematics and statistics required for data science carrier? sir please make video on this topic
@moderncollectionkalyan3280
@moderncollectionkalyan3280 4 жыл бұрын
Basic level
@Arjun147gtk
@Arjun147gtk 4 жыл бұрын
I am facing an issue, trying to install nltk and spacy, but it's asking to downgrade tensorflow from version 2 to version 1.X. What can be done to install it without downgrading the TF.
@akilabandara137
@akilabandara137 2 жыл бұрын
Hey, In word embedding how features are defined? Is it extract from document itself or pre define features set available for related domain or whole language?
@danielmafileo4078
@danielmafileo4078 4 жыл бұрын
Are you able to use nlp to build a siri type app in your own foreign language? Thanks for tutorial.
@chetantanwar8561
@chetantanwar8561 4 жыл бұрын
sir, u left most important part w2v plzzzz do cover it
@chetantanwar8561
@chetantanwar8561 4 жыл бұрын
and do cover also maximum 300 dimension funda its really difficult for me to get
@tagoreji2143
@tagoreji2143 2 жыл бұрын
thank you so much sir
@tanishbothra5044
@tanishbothra5044 4 жыл бұрын
Hello, Suppose we need to add more features in our X which are not text..i.e suppose we get a sparse matrix after count vectorizer and now we have one more feature length and we want both features.How to combine both?
@harikrishnanm5109
@harikrishnanm5109 4 жыл бұрын
It was really helpful. Can u make videos on Grammer Correction using Rule based methord, Language Models & classifiers. its really hard to understand it otherwise
@shreyaskulkarni5823
@shreyaskulkarni5823 3 жыл бұрын
is word embedding similar to pandas pivot table expect that we provide features here?
@suvarnadeore8810
@suvarnadeore8810 3 жыл бұрын
Thank you sir
@DhananjaySharma-p1y
@DhananjaySharma-p1y Жыл бұрын
sir how will be these parameter will be decided as u did . like gender, royal, age , food etc
@sandejai
@sandejai 3 жыл бұрын
Many thanks
@torque2123
@torque2123 4 жыл бұрын
Pytorch or Tensorflow 2.0 which one is better for beginners?
@damianwysokinski3285
@damianwysokinski3285 3 жыл бұрын
Keras
@ShirishSonvane
@ShirishSonvane 4 жыл бұрын
Can you please make a video on 'Hybrid Deep Learning Model for Sentiment Classification' that is implementation of CNN and LSTM together for sentiment classification?
@Kmysiak1
@Kmysiak1 4 жыл бұрын
Can you explain the last video in this "Introduction to Word Embeddings" series? "Embeddings matrix"
@karthikvk263
@karthikvk263 3 жыл бұрын
Can anyone please tell me that word embedding results 3d array which can only used in deep learning networks.or it can be convert into 2d array
@fitnflex_Anuja
@fitnflex_Anuja 2 жыл бұрын
what is the difference between word embedding layer and WordtoVec class
@DineshBabu-gn8cm
@DineshBabu-gn8cm 3 жыл бұрын
someone please explain me what is vocabulary and vocabulary size . I'm confused with these terms.
@rivafelix255
@rivafelix255 3 жыл бұрын
An example of vocabulary could be: [This, is, an, example] ---> a collection of words, right ? What is this vocabulary size ? The answer is 4. This = 1, is = 2, an = 3, example = 4
@naivedhshah2980
@naivedhshah2980 4 жыл бұрын
Can you make a video on balancing the imbalance text data set?
@muhammadroman2334
@muhammadroman2334 4 жыл бұрын
This is really really amazing. Thank you for your efforts. Can you make a video on sentence embedding as well.
@pratyushharsh7186
@pratyushharsh7186 3 жыл бұрын
There is no such thing as sentence embedding as per my knowledge
@r_pydatascience
@r_pydatascience 3 жыл бұрын
I don’t really get word embedding. Does it work outside the mainstream English language? For example medical language is different. If I am studying about medical literature, a lot of my main vocabularies are medical words. What is your opinion on this?
@gunjansingh1971
@gunjansingh1971 4 жыл бұрын
Hey can you please explain on which bases you are deciding these vector value like 0.01, 0.03 etc.
@shilashm5691
@shilashm5691 2 жыл бұрын
Refer word2vec video of ritvikmath KZbin channel. Thank me later😇😆
@gurdeepsinghbhatia2875
@gurdeepsinghbhatia2875 4 жыл бұрын
Sir When u said that we related the gender to boy , then this is done by machine , or this is predefined , i mean to say that on what bases this all comes to an action that gender is related to boy and girl , and royal is related to queen and king ??? thnku sir
@naderbouchnag3
@naderbouchnag3 Жыл бұрын
👏👏
@umesh1032
@umesh1032 3 жыл бұрын
How do you get feature for different domain
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