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.
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?
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
This is the best definition of embedding for me.
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.
The BLUF explanation alone was worth it.
you're awesome, this helped me quite a bit with my thesis.
loved it! solved my problem with embedding...thanks!
Love this , thank Alicia
Thank you Alicia that was helpful
Great video and explanation. it's so helpful to understand what is embedding...Thanks!
happy you enjoyed! Merci!
Awesome explanation, thanks girl!
wonderful explanation. thanks a lot!
very informative and crisp :)
Awesome video. Thank you
amazing video thanks for sharing
great work
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..
How are you doing the graph path embeddings? - a link to a paper would be great
That was great...
Thanks
Its good!!!
Hi, great video, is the presentation uploaded somewhere accesible?
thx, very nice content. Would you share your slides please?
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?
Nice video. On skipgram, I thought it predicts all words in the context window not just the next word though
You are correct.
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
I guess thats because of the mic
why u talking quickly !
i liked ur presentation but please dont run and eat words :) 😊