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APMG-International Artificial-Intelligence-Foundation Exam - 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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Ryan
3 months ago
Not sure if online learning is the best choice here...
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Jose
3 months ago
Online learning makes sense with new data coming in!
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Virgina
3 months ago
Wait, is patchwork learning even a thing?
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Lorenza
4 months ago
I thought it was batch learning?
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Sharika
4 months ago
Definitely online learning!
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Fatima
4 months ago
Patchwork learning sounds familiar, but I don't recall it being a standard term. Maybe it's a trick option?
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Buck
4 months ago
I feel like this question is similar to one we practiced on adaptive learning methods. Could it be online learning?
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Mitzie
4 months ago
I'm not entirely sure, but I remember something about batch learning being used with large datasets.
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Tamie
5 months ago
I think we might be looking for online learning here, especially since it deals with frequent new data.
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Leslie
5 months ago
Okay, I think I've got it. With limited resources and new data, online learning is the way to go. That will allow the model to continuously update and adapt.
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Emogene
5 months ago
Batch learning is probably not the right choice given the constraints mentioned in the question. I'm leaning towards online learning as the best fit.
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Marnie
5 months ago
I'm a little confused by the options here. I'll need to review my notes on the different machine learning approaches to make sure I understand the distinctions.
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Fabiola
5 months ago
Online learning, for sure. That's the best way to handle large datasets and new data coming in frequently.
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Georgeanna
5 months ago
Hmm, this seems like a tricky one. I'll need to think carefully about the differences between the learning approaches mentioned.
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Jesus
5 months ago
I'm a bit unsure about this one. The wording is a bit vague, and I'm not entirely clear on what "preconfigured in the workflow" means in this context. I'll have to think it through carefully before answering.
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Hobert
5 months ago
I'm not entirely sure if option A is right. I feel like it was mentioned that ACK helps with reducing wait times, but can't quite recall.
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Elvera
5 months ago
I remember we discussed that management's plans should ideally improve financial stability, so I think increasing ownership equity might be a good option.
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Laura
5 months ago
Wait, wasn't there something about decentralized storage being a benefit? I need to double-check that before I finalize my answer.
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Judy
2 years 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
2 years ago
Online learning sounds intense, but definitely worth it for real-time data updates.
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Youlanda
2 years ago
D) Online learning.
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Tesha
2 years ago
A) Batch learning.
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Cathrine
2 years ago
I think online learning is better because it can adapt to new data quickly.
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Ammie
2 years 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
2 years 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
2 years ago
Patchwork learning doesn't seem like a valid option compared to online learning.
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Erinn
2 years ago
Big Data learning might sound cool, but online learning is more practical in real-world scenarios.
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Salley
2 years ago
I agree, batch learning can be too slow with a large dataset.
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Linsey
2 years ago
Online learning is definitely the way to go with limited computational resources.
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Lashawn
2 years ago
I agree with Daren, batch learning is more suitable for large datasets.
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Delmy
2 years 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
2 years 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
1 year ago
Online learning is definitely the way to go in that situation.
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Salley
1 year ago
D) Online learning.
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Dusti
2 years ago
A) Batch learning.
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Agustin
2 years ago
Online learning is definitely the way to go with a large dataset and limited resources!
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Theola
2 years ago
D) Online learning.
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Latrice
2 years ago
A) Batch learning.
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Truman
2 years ago
I disagree, I believe the answer is D) Online learning.
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Daren
2 years ago
I think the answer is A) Batch learning.
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