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APMG-International Exam Artificial-Intelligence-Foundation Topic 1 Question 15 Discussion

Actual exam question for APMG-International's Artificial-Intelligence-Foundation exam
Question #: 15
Topic #: 1
[All Artificial-Intelligence-Foundation Questions]

Splitting data into Training and Test data sets is part of what?

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Suggested Answer: B

Reflex and Model-based Reflex are two types of Artificial Intelligent Agents. Artificial Intelligent Agents are computer systems designed to act and think in a manner similar to humans, incorporating elements of problem solving, decision-making, communication, and learning. Reflex agents are reactive agents which act based on the current environment and conditions, while Model-based Reflex agents use a model of the environment to make decisions. Reference: BCS Foundation Certificate In Artificial Intelligence Study Guide,https://bcs.org/ai/certificate/and APMG International,https://www.apmg-international.com/qualifications/artificial-intelligence-foundation-certificate.


by Marshall at Oct 20, 2024, 02:02 AM

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Mammie
1 months ago
Splitting data? More like 'splitting headaches' when you've got a bunch of messy data to wrangle. But hey, at least it's not rocket science... oh wait.
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Aliza
7 days ago
B) Batch learning.
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Kayleigh
8 days ago
A) Machine learning data preparation.
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Xochitl
2 months ago
D? High performance computing strategy? What kind of sorcery is that? I'll stick with the classic machine learning approach, thank you very much.
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Sharika
1 days ago
D) High performance computing strategy.
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Fanny
6 days ago
C) Machine learning post processing.
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Lonny
16 days ago
B) Batch learning.
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Leatha
17 days ago
A) Machine learning data preparation.
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Katina
2 months ago
Hmm, I was debating between A and B, but A makes more sense. Although, I do enjoy a good batch learning session on the weekends!
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Lilli
2 months ago
I agree, option A is the correct answer. Can't really see how the other options relate to this question at all.
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Pearly
21 days ago
User 2: Yeah, the other options don't really make sense in this context.
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Sage
24 days ago
User 1: I agree, option A is the correct answer.
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Dyan
2 months ago
Splitting data into Training and Test sets is definitely part of machine learning data preparation. This is a classic technique to validate model performance.
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Jame
2 months ago
I agree with Maryann, splitting data into Training and Test data sets is crucial for evaluating the model's performance. So, it must be A) Machine learning data preparation.
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Maryann
2 months ago
I think it's A) Machine learning data preparation because we need to have separate data sets to train and test the model.
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Coral
2 months ago
A) Machine learning data preparation.
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a