I'm literally binge watching your videos like Netflix!
@zahraaberjawi25414 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!
@1217Yangli3 жыл бұрын
you are 200% better than my professor in explaining Word Embedding
@bharathiramkumar1664 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 .
@thunder440v34 жыл бұрын
Same here! 😊😊
@dhanushsabbisetty93794 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!
@deepaktanna3 жыл бұрын
Thanks!
@rajathslr3 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!
@DS_AIML4 жыл бұрын
@Krish- How you got this features(like Gender,Royal,Age etc).is this features mention any where in word embedding
@josephselwan16523 жыл бұрын
I think I found a gem! Thank you Krish! You really make it so easy to understand.
@Utkarshkharb3 жыл бұрын
His channel and Statquest are 2 of the best resources for ML and Data Science on KZbin.
@patrickadjei96764 жыл бұрын
I don't usually subscribe to youtube channels ... but this first video I watched from you got me.
@anjalia87923 жыл бұрын
Keep posting great content. It's worth sharing your content with everyone! Thank you!!!
@puneetbansal85672 жыл бұрын
Amazing way of teaching sir !! Great work. Thanks alot
@cesaranzola48282 жыл бұрын
Awsome video!! You are an excellent teacher wish I had a teacher like u at my Master program right now!
@DS_AIML4 жыл бұрын
Nice ,Clean discription. Well Done ,Krish !!!
@informetica73944 жыл бұрын
Can't wait for the next video..... Thanks A Lot .....
@usashichatterjee64893 жыл бұрын
Sir your explanations are fantastic
@premranjan44403 жыл бұрын
Word Embedding is such a masterpiece!
@Trouble.drouble4 жыл бұрын
Your speciality is teaching from scratch sir
@WoodyDataAI2 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.
@shivamkumar-qp1jm4 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
@prakharsingh92794 жыл бұрын
You are simply amazing sir....hats off to you💯💯
@vakarsh4 жыл бұрын
Try showing embedding projector. It’s an interesting way to visualise embedding and sparks interest.
@christinavalavani52422 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.
@GhizlaneBOUSKRI3 жыл бұрын
Krish, you save my life every time
@Lotof_Mazey2 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?
@PriyaM-og6ji3 жыл бұрын
These videos are adding up my knowledge. Thank you, @krish naik sir!
@professorbhumika4 жыл бұрын
LSTM Preactical session also required Sir
@Ogunbiyi_Ibrahim8 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
@machaindrakumar34648 ай бұрын
Super sir I enjoyed before the exam
@Rajesh-xk5kv3 жыл бұрын
Every day im watching atleast 5-6 videos these days
@attitudekillersaqibАй бұрын
Great explaination ❤
@kumarpurantripathy11452 жыл бұрын
Excellent! Love from USA
@SameerSk4 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 = ??
@mohammadkazemibeydokhti57683 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.
@FunFusionTrajectory Жыл бұрын
Sir that's amazing 😍😊
@gautammalik19112 жыл бұрын
you are a gem man , love your style
@ltrahul10162 жыл бұрын
Good explanation krish sir
@ArshdeepSingh..2 жыл бұрын
How do we decide features (gender, age...) in this technique
@eswarank31274 жыл бұрын
please make a video on dimensional reduction technique in order to reduce into 2 dimension from more dimension (coding)
@nagesh8664 жыл бұрын
What an awesome explanation. Thank you @Krish
@Trouble.drouble4 жыл бұрын
Thanks krish
@abidtaqi38424 жыл бұрын
Subscribed ! Thanks a lot. Hopefully your videos will be helpful my thesis project !
@priyabratamohanty34724 жыл бұрын
You haven't made any video on gradient boosting yet...Actually.Boosting series is incomplete. Please make video on GB technique
@parukadli Жыл бұрын
superb ... Is the word embedding fixed or generated for every dataset given for training ?
@yukeshnepal48854 жыл бұрын
no words for you sir.. 👌👌 would you please make a video on gradient boosting and Xgboost ML algorithm with all maths stuffs....
@krishnaik064 жыл бұрын
Will upload soon
@dharmendrathakur14873 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
@dharmendrathakur14873 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
@ravindarmadishetty7364 жыл бұрын
Wonderful Video Krish
@arkimanago52843 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?
@mahikdm Жыл бұрын
Perfect explanation... thanks a lot
@rohit_mondal__3 жыл бұрын
good explanation sir
@giopez3 жыл бұрын
Good content, keep doing videos like this!
@sandeepkumawat49824 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
@ukc27044 жыл бұрын
Nice explanation sir ,always waiting for new videos. we are looking for your book publication.
@shjsjssjksksa64523 жыл бұрын
You are amazing❤️
@mashakpatel49624 жыл бұрын
sir please make video on Data scientist carrier degree is required or certification is enough for job
@xiaoweidu46674 жыл бұрын
applauding for you !! thank you again!
@karamvirsingh56703 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)
@kin_19972 жыл бұрын
amazing brother thank you
@shaktisharma55294 жыл бұрын
Sir please make a video on sentiment analysis using VADER.
@Fatima-kj9ws3 жыл бұрын
Your explanations are great, thank you
@vipulritwik4 жыл бұрын
Very well explained
@DeepakKumar-uz4xy4 жыл бұрын
Waiting for your facenet embedding... and clustering process
@santoshsaklani50192 жыл бұрын
Sir kindly make video on how we can embed source code into vector and use it for Training DL model
@muhammadnomankhanassistant37933 жыл бұрын
Excellent tutorials .
@borysprydalnyy81063 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!
@BuddhiChathurangaTheAmigo4 жыл бұрын
Great explanation
@thesistersrock25384 жыл бұрын
Nicely explain Thanks for making things clear
@harikrishnanm51094 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
@DhananjaySharma-p1y Жыл бұрын
sir how will be these parameter will be decided as u did . like gender, royal, age , food etc
@mashakpatel49624 жыл бұрын
what kind of mathematics and statistics required for data science carrier? sir please make video on this topic
@moderncollectionkalyan32804 жыл бұрын
Basic level
@akilabandara1372 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?
@shreyaskulkarni58233 жыл бұрын
is word embedding similar to pandas pivot table expect that we provide features here?
@danielmafileo40784 жыл бұрын
Are you able to use nlp to build a siri type app in your own foreign language? Thanks for tutorial.
@Kmysiak14 жыл бұрын
Can you explain the last video in this "Introduction to Word Embeddings" series? "Embeddings matrix"
@masterstats80644 жыл бұрын
Hi krish, What is the parameter update equation in SVM and logistic regression?
@mavaamusicmachine22413 жыл бұрын
Amazing explanation thank you!
@ibrahimahmethan586 Жыл бұрын
excellent
@naivedhshah29804 жыл бұрын
Can you make a video on balancing the imbalance text data set?
@fitnflex_Anuja2 жыл бұрын
what is the difference between word embedding layer and WordtoVec class
@sandipansarkar92114 жыл бұрын
Thanks krish for the video.
@chetantanwar85614 жыл бұрын
sir, u left most important part w2v plzzzz do cover it
@chetantanwar85614 жыл бұрын
and do cover also maximum 300 dimension funda its really difficult for me to get
@dominikdominik57673 жыл бұрын
thanks this is awesome
@tanishbothra50444 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?
@r_pydatascience3 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?
@muhammadroman23344 жыл бұрын
This is really really amazing. Thank you for your efforts. Can you make a video on sentence embedding as well.
@pratyushharsh71863 жыл бұрын
There is no such thing as sentence embedding as per my knowledge
@torque21234 жыл бұрын
Pytorch or Tensorflow 2.0 which one is better for beginners?
@damianwysokinski32853 жыл бұрын
Keras
@Arjun147gtk4 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.
@gurdeepsinghbhatia28754 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
@ShirishSonvane4 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?
@xiaoweidu46674 жыл бұрын
very good, thank you sir !
@tagoreji21432 жыл бұрын
thank you so much sir
@dharmendrathakur14873 жыл бұрын
I have one doubt can you make it clear, my doubt is how it is assigning the values for opposite genders, like for Boy -1 and for girl 1
@umesh10323 жыл бұрын
How do you get feature for different domain
@suvarnadeore88103 жыл бұрын
Thank you sir
@subhamacharya70844 жыл бұрын
Sir,kindly make some basic videos on Pandas.
@krishnaik064 жыл бұрын
Check my complete ML playlist
@ishtiakahmed32724 жыл бұрын
sir video no 35 and 36 same videos Iof this series would you like to check?
@sandejai4 жыл бұрын
Many thanks
@gunjansingh19714 жыл бұрын
Hey can you please explain on which bases you are deciding these vector value like 0.01, 0.03 etc.
@shilashm56912 жыл бұрын
Refer word2vec video of ritvikmath KZbin channel. Thank me later😇😆
@purufrozen15084 жыл бұрын
Using Keras Embedding can I embed word form any language?