In this video Alicia Frame gives an overview of the graph embeddings field. You can learn more at neo4j.com/developer/graph-emb...
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Пікірлер: 32
@haiw3 жыл бұрын
This is the best definition of embedding for me.
@tamlandipper296 ай бұрын
The BLUF explanation alone was worth it.
@DanMcCreary4 жыл бұрын
Great video! I appreciate your guidance that Deep Learning is not easy in Java on slide 38 at 27:00. We have found that using a Python library, a Jupyter Notebook, and a GPU is the best way to create embeddings.
@snasrinh4 жыл бұрын
loved it! solved my problem with embedding...thanks!
@EdeYOlorDSZs3 жыл бұрын
you're awesome, this helped me quite a bit with my thesis.
@anhtrungnguyenvu75504 жыл бұрын
Love this , thank Alicia
@Barabam2-um3 жыл бұрын
Great video and explanation. it's so helpful to understand what is embedding...Thanks!
@neo4j
3 жыл бұрын
happy you enjoyed! Merci!
@Dududung972 жыл бұрын
wonderful explanation. thanks a lot!
@yousefjaradat26194 жыл бұрын
Thank you Alicia that was helpful
@michaelboker89962 жыл бұрын
Awesome video. Thank you
@JoseRomero-wp4ij4 жыл бұрын
Awesome explanation, thanks girl!
@nayanvats34244 жыл бұрын
very informative and crisp :)
@khaledsakkaamini47434 жыл бұрын
amazing video thanks for sharing
@vgreddysaragada Жыл бұрын
great work
@user-yy4no5rq9y Жыл бұрын
Its good!!!
@andersimenes19373 жыл бұрын
Hi all! I started studying Machine Learning in August, and just finished the introductory course. I remember we learned about Ridge Regression and The Lasso as two methods to shrink the amount of features, hence making it lower dimensional. Does that mean, per definition of Embedding, that Lasso and Ridge regression are embedding methods?
@kunjalsujalshah19923 жыл бұрын
Well explained..
@mahdiamrollahi84563 жыл бұрын
That was great...
@Rubiking2 жыл бұрын
Hi, great video, is the presentation uploaded somewhere accesible?
@MaideCanyakar4 жыл бұрын
Thanks
@AshAlmighty1234 жыл бұрын
How are you doing the graph path embeddings? - a link to a paper would be great
@soheildanesh95384 жыл бұрын
Nice video. On skipgram, I thought it predicts all words in the context window not just the next word though
@drdr3496
Жыл бұрын
You are correct.
@kameshso014 жыл бұрын
Hey Nice work there! P.S: Can you make a video on Graphsage? Can we get embeddings for a node while training in supervised mode?
@user-hy2dx1nu3y4 жыл бұрын
thx, very nice content. Would you share your slides please?
@idanovadia45434 жыл бұрын
tnx it was great can you make video on sub2vec?
@morbiusprime20434 жыл бұрын
Million dollar question is: is there a pregel implementaiton.
@ismbil3 жыл бұрын
you should not put those animated gifs into your presentation :/ they really distract
@siddharthsvnit4 жыл бұрын
why does her voice sound like broken tape recorder or a radio that has bad antena... :D but nevertheless a very helpful talk on this topic , possibly amongst the best on youtube ! Thanks
@distrologic2925
4 жыл бұрын
I guess thats because of the mic
@bnbmaka9 ай бұрын
why u talking quickly ! i liked ur presentation but please dont run and eat words :) 😊
Пікірлер: 32
This is the best definition of embedding for me.
The BLUF explanation alone was worth it.
Great video! I appreciate your guidance that Deep Learning is not easy in Java on slide 38 at 27:00. We have found that using a Python library, a Jupyter Notebook, and a GPU is the best way to create embeddings.
loved it! solved my problem with embedding...thanks!
you're awesome, this helped me quite a bit with my thesis.
Love this , thank Alicia
Great video and explanation. it's so helpful to understand what is embedding...Thanks!
@neo4j
3 жыл бұрын
happy you enjoyed! Merci!
wonderful explanation. thanks a lot!
Thank you Alicia that was helpful
Awesome video. Thank you
Awesome explanation, thanks girl!
very informative and crisp :)
amazing video thanks for sharing
great work
Its good!!!
Hi all! I started studying Machine Learning in August, and just finished the introductory course. I remember we learned about Ridge Regression and The Lasso as two methods to shrink the amount of features, hence making it lower dimensional. Does that mean, per definition of Embedding, that Lasso and Ridge regression are embedding methods?
Well explained..
That was great...
Hi, great video, is the presentation uploaded somewhere accesible?
Thanks
How are you doing the graph path embeddings? - a link to a paper would be great
Nice video. On skipgram, I thought it predicts all words in the context window not just the next word though
@drdr3496
Жыл бұрын
You are correct.
Hey Nice work there! P.S: Can you make a video on Graphsage? Can we get embeddings for a node while training in supervised mode?
thx, very nice content. Would you share your slides please?
tnx it was great can you make video on sub2vec?
Million dollar question is: is there a pregel implementaiton.
you should not put those animated gifs into your presentation :/ they really distract
why does her voice sound like broken tape recorder or a radio that has bad antena... :D but nevertheless a very helpful talk on this topic , possibly amongst the best on youtube ! Thanks
@distrologic2925
4 жыл бұрын
I guess thats because of the mic
why u talking quickly ! i liked ur presentation but please dont run and eat words :) 😊