Exam AIP-210 Topic 4 Question 24 Discussion

Actual exam question for CertNexus's AIP-210 exam
Question #: 24
Topic #: 4

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?

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. D. Neural network model, because this is a classification problem with a large number of features.

Suggested Answer: D Vote an answer

Explanation
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. References: [Neural network - Wikipedia], [Transfer Learning - Machine Learning's Next Frontier]

by Hugh at Jan 17, 2025, 07:09 AM

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