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Amazon MLS-C01 Exam - Topic 1 Question 32 Discussion

An Machine Learning Specialist discover the following statistics while experimenting on a model.What can the Specialist from the experiments?
C) The model in Experiment 1 had a high bias error and a high variance error that were reduced in Experiment 3 by regularization Experiment 2 shows thai high bias cannot be reduced by increasing layers and neurons in the model
A) The model In Experiment 1 had a high variance error lhat was reduced in Experiment 3 by regularization Experiment 2 shows that there is minimal bias error in Experiment 1
B) The model in Experiment 1 had a high bias error that was reduced in Experiment 3 by regularization Experiment 2 shows that there is minimal variance error in Experiment 1
D) The model in Experiment 1 had a high random noise error that was reduced in Expenment 3 by regularization Expenment 2 shows that random noise cannot be reduced by increasing layers and neurons in the model

Amazon MLS-C01 Exam - Topic 1 Question 32 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 32
Topic #: 1
[All MLS-C01 Questions]

An Machine Learning Specialist discover the following statistics while experimenting on a model.

What can the Specialist from the experiments?

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Suggested Answer: C

by Bobbye at May 07, 2022, 09:31 AM

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Ronnie
8 months ago
Experiment 2 shows minimal variance, that's interesting!
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Hubert
8 months ago
I thought random noise was just part of the data?
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Yuki
8 months ago
Wait, how can high bias not be fixed by adding layers?
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Carma
8 months ago
Totally agree, regularization helps a lot!
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Dan
9 months ago
Experiment 1 had high variance, right?
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Delmy
9 months ago
Okay, I think I've got this. I just need to do the math step-by-step and I should be able to figure out the exchange rate gain or loss.
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Olen
9 months ago
Based on the requirements, I'd recommend option C - deploying a search head cluster. The high data volume will likely require the scalability and redundancy that a cluster provides.
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