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CIS 421/521 - Vector Semantics part 2 - 2020-12-08 - Shared screen with speaker view
Chris Niemeyer
08:15
You don’t see the guest picture until you have accepted a booking now.. that changed this year
Rebecca Sassower
21:04
its asking given any other word, how likely is "apricot" predicted to come next?
Jason Kim
01:04:34
I might have missed it but how do you project 300 dimensions down to 2 again?
Nicole Chiou [she/her]
01:06:17
You would use some sort of dimensionality reduction algorithm like PCA or 2D embedding like t-SNE
Chris Callison-Burch
01:06:56
t-SNE
Jérémie Allard (he/him)
01:07:04
t-distributed stochastic neighbor embedding
Chris Niemeyer
01:09:29
How well does this work in other languages?
Bowen Chen
01:25:14
Korean war
Ayush Parikh
01:25:15
red scare
Thomas Wang
01:28:46
Thank you!
Aliza Gindi
01:28:49
Thank you!
Grace Chong
01:28:50
thank you!!
Christina Lin
01:28:51
thank you!!!
Matthew Jortberg
01:28:52
Thank you professor
Helen Qi
01:28:52
Thank you!!!
Yinuo (Chelsie) Xu
01:28:53
Thank you!!
Alexandra Shaw
01:28:53
Thank you!!
Caroline Evans
01:28:54
thank you!
Ayush Parikh
01:28:56
Thank you professor!
Chris Niemeyer
01:28:58
Thank you!!!
Ayyah Alhuraibi
01:28:58
Thank you!!
Haohua Lyu
01:28:58
Thank you!
Joshua Nouriyelian
01:28:58
Thank you!!
Yuxin Liao
01:28:58
Thank you :))
Daniel Like
01:28:59
thank you!
Lucy Xia
01:28:59
Thank you!!