Voodies Interviews
Region: US
Monday 09 March 2026 19:10:15 GMT
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sabit :
either i’m crazy or he got most of these wrong
2026-03-10 04:32:53
224
Factcheck! :
It shows that he, in fact is a Data Science major and not Machine Learning.
2026-03-10 06:31:02
40
.idee.perdue :
thinking data science as a major is kind off funny
2026-03-11 22:40:59
25
db :
That is not gradient descent at all
2026-03-09 23:08:47
147
Rakan Hijazeen :
Isn’t gradient descent an algorithm for minimizing the value of cost function?
2026-03-22 20:41:36
19
bbb :
somethings sound of 😂😂 gradient descent is the valley thing with back propagation U adjust the weights based on learning rate and derivative this sounds wierd
2026-03-10 03:48:51
14
user3334964209245 :
That’s not really what days cleaning is I mean that should be the least of your worries , it should not have user errors but it can still have issues , there just isn’t an error for the user in not removing leading zeros from some id or something
2026-05-04 07:45:36
2
Salvatore :
data cleaning is the process of checking the quality, consistency, types and formating of the data.
2026-03-11 22:16:53
9
Hidayat Ullah :
Brother ai or data science or syber security which one is good can you recommend me for future 🥰 please tell me🥰
2026-03-10 13:51:31
1
Mahim Jb Rana :
0 for all
2026-03-10 04:45:22
27
AI ENGINEER :
1. Convexity Dependence: Gradient Descent guarantees convergence to the global minimum if the loss function is convex. However, in deep learning, loss surfaces are highly non-convex, meaning the algorithm often converges to a local minimum or a saddle point. 2. Sensitivity to Ill-Conditioning: The performance of vanilla Gradient Descent degrades significantly if the loss function has a high condition number (i.e., the surface is much steeper in one direction than another). This causes the algorithm to oscillate across ravines rather than moving directly toward the minimum.
2026-03-11 11:01:25
5
Apple User36956883 :
I’m just an old English major reading the comments because I’m married to a PhD in aerospace engineering and he’s forever nitpicking the answers people give and it amuses me to watch geniuses spar.
2026-03-27 22:59:54
1
_complete.hypnosis_ :
This isn’t gradient descent at all 😂
2026-03-10 08:41:37
1
HEDGES :
i think he got cross validation wrong
2026-03-12 16:08:25
1
asandaalcantara ii :
He did well.
2026-03-09 19:54:29
3
Nellyville 👨🏿 :
He wasn’t totally wrong nor right either 😀😃
2026-03-16 16:39:01
3
Muhammad Fahad :
I’m doing data science
2026-03-09 19:40:38
2
User593938572717274 :
Is it me or he got the regularizing question off
2026-03-09 20:28:50
7
MTG0009 :
Need guy😁 genius
2026-03-09 22:03:14
1
Hobim :
i love data science bro 😂😭
2026-03-09 20:34:33
1
chris :
This is all intro level data science 😭
2026-05-06 03:11:22
0
ForgottenTrickster :
Extremely easy questions, last one is kinda wrong, or too generic.
2026-05-11 04:27:17
0
Shiro :
that is not a phd-level question 🤨
2026-04-16 17:16:40
0
D_______ :
6/6 🥰
2026-04-15 16:57:22
0
️ :
first
2026-03-09 19:14:58
0
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