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BCS Exam AIF Topic 8 Question 47 Discussion

Actual exam question for BCS's AIF exam
Question #: 47
Topic #: 8
[All AIF Questions]

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

Show Suggested Answer Hide 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).


Contribute your Thoughts:

Maryann
2 months ago
Online learning is the way to the future! Big Data is hungry, and it needs that constant feeding.
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Genevive
29 days ago
Exactly, with online learning, we can adapt quickly to new data.
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Shoshana
1 months ago
Batch learning can be too slow for that kind of environment.
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Augustine
1 months ago
Online learning is definitely the way to go!
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Levi
1 months ago
I agree, it's perfect for handling large datasets and frequent updates.
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Lorrie
2 months ago
I'm not sure, but I think A) Batch learning could also be a good option for large datasets.
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Otis
3 months ago
I agree with Margart, online learning is the way to go with limited resources.
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Carlene
3 months ago
D) Online learning. The real-time updates are crucial when you're working with a constantly changing dataset. No time for that batch stuff.
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Rosann
2 months ago
D) Online learning.
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Torie
2 months ago
B) Big Data learning.
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Latosha
2 months ago
A) Batch learning.
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Mariko
3 months ago
Online learning, for sure. Gotta keep up with that data flow, am I right? Batch learning is so 2010.
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Laurel
3 months ago
I prefer Patchwork learning. It's like a cozy quilt of knowledge, each patch a little bit of learning.
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Margart
3 months ago
I think the answer is D) Online learning.
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Barabara
3 months ago
D) Online learning. That's the way to go when you're dealing with big data and limited resources. Ain't got time for no batch processing!
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Giovanna
2 months ago
D) Online learning. That's the way to go when you're dealing with big data and limited resources. Ain't got time for no batch processing!
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Sanda
2 months ago
D) Online learning.
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Alona
2 months ago
B) Big Data learning.
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Linwood
2 months ago
D) Online learning. That's the way to go when you're dealing with big data and limited resources. Ain't got time for no batch processing!
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Gianna
2 months ago
A) Batch learning.
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Serina
3 months ago
A) Batch learning.
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