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APMG-International Exam Artificial-Intelligence-Foundation Topic 2 Question 8 Discussion

Actual exam question for APMG-International's Artificial-Intelligence-Foundation exam
Question #: 8
Topic #: 2
[All Artificial-Intelligence-Foundation Questions]

With a large dataset, limited computational resources or frequent new data to learn from, we can adopt what type of machine learning?

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Suggested Answer: D

Online learning is a type of machine learning that can be used when a large dataset is limited in computational resources or if the data is frequently changing. It allows the system to learn from new data as it is being presented, rather than having to re-train the entire dataset each time new data is added. This makes it more efficient and effective than batch learning, as it only needs to process the new data and not the entire dataset. Online learning is often used in applications such as fraud detection, where new data is constantly being added and needs to be analyzed quickly.

For more information, please refer to the BCS Foundation Certificate In Artificial Intelligence Study Guide (https://www.bcs.org/upload/pdf/bcs-foundation-certificate-in-artificial-intelligence-study-guide.pdf)or the EXIN Artificial Intelligence Foundation Certification (https://www.exin.com/en/exams/artificial-intelligence-foundation).


by Carma at Jul 10, 2024, 11:28 PM

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Judy
10 months ago
Online learning, baby! It's like riding a unicorn while juggling flaming chainsaws. Keeps you on your toes, that's for sure.
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Reyes
10 months ago
Online learning sounds intense, but definitely worth it for real-time data updates.
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Youlanda
10 months ago
D) Online learning.
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Tesha
10 months ago
A) Batch learning.
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Cathrine
10 months ago
I think online learning is better because it can adapt to new data quickly.
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Ammie
10 months ago
Patchwork learning? Seriously? That's like trying to build a house with duct tape and chewing gum. Online learning all the way!
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Marge
10 months ago
Big Data learning? Sounds like someone's been watching too many sci-fi movies. Let's keep it real with online learning, folks.
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Caitlin
9 months ago
Patchwork learning doesn't seem like a valid option compared to online learning.
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Erinn
9 months ago
Big Data learning might sound cool, but online learning is more practical in real-world scenarios.
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Salley
9 months ago
I agree, batch learning can be too slow with a large dataset.
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Linsey
10 months ago
Online learning is definitely the way to go with limited computational resources.
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Lashawn
10 months ago
I agree with Daren, batch learning is more suitable for large datasets.
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Delmy
11 months ago
D) Online learning sounds like the perfect fit. Who needs batch learning when you can just sip on that data stream, am I right?
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Delfina
11 months ago
Online learning is the way to go with a large dataset and limited resources! Gotta stay agile and adaptable, you know?
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Marvel
9 months ago
Online learning is definitely the way to go in that situation.
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Salley
9 months ago
D) Online learning.
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Dusti
9 months ago
A) Batch learning.
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Agustin
9 months ago
Online learning is definitely the way to go with a large dataset and limited resources!
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Theola
9 months ago
D) Online learning.
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Latrice
10 months ago
A) Batch learning.
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Truman
11 months ago
I disagree, I believe the answer is D) Online learning.
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Daren
11 months ago
I think the answer is A) Batch learning.
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