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IAPP Exam AIGP Topic 2 Question 17 Discussion

Actual exam question for IAPP's AIGP exam
Question #: 17
Topic #: 2
[All AIGP Questions]

Training data is best defined as a subset of data that is used to?

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Suggested Answer: A

Training data is used to enable a model to detect and learn patterns. During the training phase, the model learns from the labeled data, identifying patterns and relationships that it will later use to make predictions on new, unseen data. This process is fundamental in building an AI model's capability to perform tasks accurately. Reference: AIGP Body of Knowledge on Model Training and Pattern Recognition.


by Chuck at Sep 13, 2024, 05:06 PM

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Marion
17 days ago
I'm going with A. Patterns? That's what machine learning is all about, isn't it? Woof!
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Gerry
18 days ago
C is my pick. Gotta detect those biases early on, no matter how ugly they are.
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Veta
22 days ago
Hmm, D seems to be the winner. We want the training data to resemble the real thing.
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Nobuko
24 days ago
I think B is the correct answer. Fine-tuning the model is crucial to improve accuracy.
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Jesusa
28 days ago
Option A sounds like the one! Training data is used to teach the model, right?
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Lavonna
30 days ago
I'm just glad they didn't ask about 'test data' - that's where the real fun begins! But for this question, I'd say A is the correct answer.
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Sabra
21 hours ago
D) Resemble the structure and statistical properties of production data.
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Kimberely
3 days ago
B) Fine-tune a model to improve accuracy and prevent overfitting.
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Chauncey
5 days ago
A) Enable a model to detect and learn patterns.
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Aleisha
1 months ago
Training data? More like 'training pain' am I right? Anyway, I think A is the way to go.
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Mohammad
1 months ago
I believe training data should resemble the structure and statistical properties of production data to ensure the model performs well in real-world scenarios.
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Britt
1 months ago
I agree with Paz, training data helps the model to generalize and make accurate predictions.
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Julio
1 months ago
Hmm, this is a tricky one. I'm going with B - the training data is used to fine-tune the model and prevent overfitting.
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Elza
8 days ago
I'm not sure, but I think D might be the correct answer. Training data should resemble the structure and statistical properties of production data.
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Jaime
14 days ago
I agree with you, I also think B is the correct answer. Training data is used to fine-tune the model and prevent overfitting.
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Benton
22 days ago
I think A is the correct answer, training data is used to enable a model to detect and learn patterns.
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Kristeen
1 months ago
D seems like it could also be a good answer, since the training data should resemble the production data, right? But A is probably the most direct definition.
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Tegan
1 months ago
I agree, A is the best definition. Training data is the subset used to train the model, not fine-tune or detect biases.
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Melvin
8 days ago
D) Resemble the structure and statistical properties of production data.
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Carman
10 days ago
C) Detect the initial sources of biases to mitigate prior to deployment.
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Ronald
16 days ago
B) Fine-tune a model to improve accuracy and prevent overfitting.
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Kina
18 days ago
A) Enable a model to detect and learn patterns.
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Paz
2 months ago
I think training data is used to enable a model to detect and learn patterns.
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Talia
2 months ago
Option A sounds like the correct answer here. The training data is used to help the model learn and detect patterns in the data.
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Graciela
15 days ago
Training data plays a key role in helping the model detect patterns and make accurate predictions.
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Timothy
16 days ago
It's important to have good quality training data to ensure the model can learn effectively.
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Henriette
17 days ago
Yes, training data is crucial for enabling the model to detect and learn patterns.
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Howard
1 months ago
I agree, option A is the best choice. Training data helps the model learn patterns.
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