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CIS 421/521 - Logistic Regression and Stochastic Gradient Descent - 2020-11-19 - Shared screen with speaker view
Maian Zhang
55:04
what if we have 0 prob for y = 1, then we will have log(0)?
Jason Kim
58:28
Is 1.17 when we’re predicting y = 1 or y = 0?
Rebecca Sassower
01:00:05
oy thank you for dealing with that all!!
Dennis Ruto
01:10:41
How come the curve goes up after we cross wmin?
Gabrielle Hemlick
01:11:09
The curve is arbitrary
Gabrielle Hemlick
01:11:37
We were trying to find the min of the curve
Thomas Wang
01:13:23
Why can’t we find this min using mathematical ways, eg. Taking the derivative = 0?
Jason Kim
01:15:28
Is it possible to instead find those critical points and end points, and simply compute f(x) for all of them to find the global minimum? Or would this process usually take longer than taking these learning steps
Dennis Ruto
01:15:30
Thank you!
Joshua Nouriyelian
01:20:09
Thank you!
Chen
01:20:12
Hi professor, just want to confirm that we have ten late days in total for the semester right