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CertNexus AIP-210 Exam - Topic 4 Question 12 Discussion

An organization sells house security cameras and has asked their data scientists to implement a model to detect human feces, as distinguished from animals, so they can alert th customers only when a human gets close to their house.Which of the following algorithms is an appropriate option with a correct reason?
D) Neural network model, because this is a classification problem with a large number of features.
A) A decision tree algorithm, because the problem is a classification problem with a small number of features.
B) k-means, because this is a clustering problem with a small number of features.
C) Logistic regression, because this is a classification problem and our data is linearly separable.

CertNexus AIP-210 Exam - Topic 4 Question 12 Discussion

Actual exam question for CertNexus's AIP-210 exam
Question #: 12
Topic #: 4
[All AIP-210 Questions]

An organization sells house security cameras and has asked their data scientists to implement a model to detect human feces, as distinguished from animals, so they can alert th customers only when a human gets close to their house.

Which of the following algorithms is an appropriate option with a correct reason?

Show Suggested Answer Hide Answer
Suggested Answer: D

Neural network models are suitable for classification problems with a large number of features, because they can learn complex and non-linear patterns from high-dimensional data. They can also handle image data, which is likely to be the input for the human face detection problem. Neural networks can also be trained using transfer learning, which can leverage pre-trained models on similar tasks and improve the accuracy and efficiency of the model. Reference: [Neural network - Wikipedia], [Transfer Learning - Machine Learning's Next Frontier]


by Hubert at Feb 11, 2024, 05:32 AM

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Chana
10 months ago
K-means? That doesn't seem right for classification!
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Maryrose
10 months ago
Neural networks might be overkill for this problem.
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William
10 months ago
Wait, are we really using cameras to detect poop?
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Celia
10 months ago
I think logistic regression is a better fit for this.
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Haley
10 months ago
Sounds like a decision tree could work well here!
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Hortencia
11 months ago
Neural networks might be overkill for this, but I recall them being effective with complex data. I wonder if that's necessary here.
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Lawrence
11 months ago
Logistic regression sounds familiar, especially for binary outcomes, but I’m not confident about the linear separability part.
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Jesse
11 months ago
I think k-means is more about clustering, right? This seems more like a classification task to me.
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Herminia
11 months ago
I remember we discussed decision trees being good for classification problems, but I'm not sure if they handle this specific scenario well.
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Selma
11 months ago
A neural network could also work well for this type of problem, especially if there are a lot of features involved. The model should be able to learn the complex patterns in the data.
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Lai
11 months ago
I'm leaning towards logistic regression for this one. It's a classic classification algorithm, and the data seems linearly separable, which is a good fit.
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Alesia
11 months ago
Hmm, I'm not sure if a decision tree is the best approach here. The problem seems more like a clustering task, so I might lean towards k-means instead.
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Kati
11 months ago
This is an interesting problem, and I think a decision tree algorithm could be a good fit since it's a classification problem with a small number of features.
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Argelia
11 months ago
I'm pretty confident this is a recession - the question describes low employment and production, which matches the definition of a recession.
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Sommer
11 months ago
This is a tricky one. I'll need to think carefully about the different ways rules can impact performance.
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Val
11 months ago
Yeah, I think B is correct too, since focusing on existing customers in a mature market seems crucial for earnings.
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Julio
11 months ago
This looks like a straightforward wireless network design question. I'll need to carefully consider the requirements and match them to the available options.
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Maryln
11 months ago
This seems like a straightforward question to me. The answer is clearly A - minimizing harm to the affected individuals. The company needs to notify them, help prevent fraud, and take steps to protect their data going forward. The other options don't seem as relevant or important in this situation.
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Bulah
11 months ago
Hmm, I'm a little unsure on this one. The question mentions a few different security controls, so I'll need to think through which one covers all of those elements. Let me re-read the options carefully.
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Ruby
11 months ago
I remember discussing how aligning IT architecture with business goals is crucial; I think option B makes the most sense.
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Chara
2 years ago
But neural networks are usually used for problems with a large number of features.
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Jacob
2 years ago
Actually, I believe a neural network model might be more appropriate.
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Socorro
2 years ago
I agree with Chara, the problem is a classification one with a small number of features.
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Chara
2 years ago
I think a decision tree algorithm would work best here.
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