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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?

ABatch learning.

BBig Data learning.

CPatchwork learning.

DOnline learning.

Show Suggested Answer

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

3 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

3 months ago

Online learning sounds intense, but definitely worth it for real-time data updates.

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Youlanda

3 months ago

D) Online learning.

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Tesha

3 months ago

A) Batch learning.

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Cathrine

4 months ago

I think online learning is better because it can adapt to new data quickly.

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Ammie

4 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

4 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

3 months ago

Patchwork learning doesn't seem like a valid option compared to online learning.

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Erinn

3 months ago

Big Data learning might sound cool, but online learning is more practical in real-world scenarios.

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Salley

3 months ago

I agree, batch learning can be too slow with a large dataset.

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Linsey

3 months ago

Online learning is definitely the way to go with limited computational resources.

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Lashawn

4 months ago

I agree with Daren, batch learning is more suitable for large datasets.

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Delmy

4 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

4 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

2 months ago

Online learning is definitely the way to go in that situation.

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Salley

2 months ago

D) Online learning.

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Dusti

3 months ago

A) Batch learning.

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Agustin

3 months ago

Online learning is definitely the way to go with a large dataset and limited resources!

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Theola

3 months ago

D) Online learning.

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Latrice

3 months ago

A) Batch learning.

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Truman

4 months ago

I disagree, I believe the answer is D) Online learning.

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Daren

4 months ago

I think the answer is A) Batch learning.

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