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CertNexus Exam AIP-210 Topic 3 Question 23 Discussion

Actual exam question for CertNexus's AIP-210 exam
Question #: 23
Topic #: 3
[All AIP-210 Questions]

Which two techniques are used to build personas in the ML development lifecycle? (Select two.)

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Suggested Answer: B

A support-vector machine (SVM) is a supervised learning algorithm that can be used for classification or regression problems. An SVM tries to find an optimal hyperplane that separates the data into different categories or classes. However, sometimes the data is not linearly separable, meaning there is no straight line or plane that can separate them. In such cases, a polynomial kernel can help improve the prediction of the SVM by transforming the data into a higher-dimensional space where it becomes linearly separable. A polynomial kernel is a function that computes the similarity between two data points using a polynomial function of their features.


Contribute your Thoughts:

Reena
24 days ago
Personas? More like 'Per-Sonny' if you ask me. I bet the examiners are just trying to 'per-suade' us with these options!
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Meaghan
13 hours ago
C) Population resampling
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Rikki
3 days ago
A) Population estimates
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My
29 days ago
Aha, I bet it's population estimates and population regression. Personas are the real stars of the show, they deserve a red carpet treatment!
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Valentin
17 days ago
I think you're right, population estimates and population regression are key techniques for building personas.
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Frederick
1 months ago
Hold up, I'm thinking population triage and population resampling. The persona-building process is like a secret society, you gotta crack the code!
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Brendan
1 months ago
I'm pretty sure it's population regression and population variance. Personas are the real MVPs of the ML lifecycle, you know?
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Harris
10 days ago
I think you're right, personas are crucial in ML development.
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Alaine
1 months ago
Hmm, population estimates and population resampling, that's my guess. Gotta love those personas, they're like the superheroes of the ML world!
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Timothy
11 hours ago
I agree, they're like the guiding light that helps us make informed decisions throughout the lifecycle.
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Monte
22 days ago
Yeah, personas really help us understand our target audience better in the ML development process.
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Kristel
23 days ago
I think you're right, population estimates and population resampling are key techniques for building personas.
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Kanisha
1 months ago
I'm not sure about population resampling. I think D) Population triage could also be used to build personas by prioritizing certain groups.
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Sylvie
2 months ago
I agree with Jill. Population estimates help in understanding the demographics and characteristics, while population resampling helps in creating representative samples.
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Jill
2 months ago
I think A) Population estimates and C) Population resampling are used to build personas in ML.
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