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Exam AI-900 topic 1 question 44 discussion

Actual exam question from Microsoft's AI-900
Question #: 44
Topic #: 1
[All AI-900 Questions]

A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types.
You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person.
This is an example of which type of machine learning?

  • A. clustering
  • B. regression
  • C. classification
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Suggested Answer: C 🗳️

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Highly Voted 4 years, 4 months ago
the brain haemorrhage types are predefined (labeled), so it's classification
upvoted 56 times
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10minexamtopic
Highly Voted 3 years, 8 months ago
This is classification. There are multiple reasons it's classification - The training data is already tagged as with the correct type of hemorrhage - Classification can be done for more than two classes (which people seem to not realize based on the comments) - You do clustering on a group of inputs. For example, the scans of 10 people. You can't cluster a single input. Clearly you get a new scan of a new patient and you want to know what that scan shows, you don't have a group of scans to cluster. - Clustering gives NO labels. You just get groups and don't know what the label is, but in this question it's very clear they want to know the label that belongs to the new scan -> classification
upvoted 41 times
wpa2
3 years, 4 months ago
I agree with this, as classification is supervised learning and clustering is unsupervised. In this case we already know the labels so C should be correct
upvoted 9 times
rdemontis
1 year, 11 months ago
exactly
upvoted 1 times
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rdemontis
1 year, 11 months ago
correct, thanks for explkation
upvoted 1 times
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saema
Most Recent 3 months, 1 week ago
Selected Answer: C
classification-yes/no
upvoted 1 times
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kelvinnkem
7 months, 1 week ago
The word "predefined" make it a classification usecase
upvoted 1 times
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gina_the_boss
9 months ago
On exam Jul 26, 2024
upvoted 3 times
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sagar_bijalwan
10 months, 1 week ago
Selected Answer: C
C. Classification -correct answer
upvoted 2 times
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Vanessa23
1 year, 5 months ago
Classification first
upvoted 1 times
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SM315
1 year, 6 months ago
The word "Predefined" should be your cue to mark it as Classification
upvoted 1 times
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rdemontis
1 year, 11 months ago
Selected Answer: C
correct classification
upvoted 2 times
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odiez3
2 years, 1 month ago
When use images is clusterin
upvoted 2 times
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JKRowlings
2 years, 9 months ago
Correct answer is Classification.
upvoted 2 times
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ydu7312
2 years, 11 months ago
C is correct
upvoted 1 times
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Mizaan
3 years ago
Selected Answer: C
Although both techniques have certain similarities, the difference lies in the fact that classification uses predefined classes in which objects are assigned, while clustering identifies similarities between objects, which it groups according to those characteristics in common and which differentiate them from other
upvoted 7 times
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heenak55
3 years ago
In test on 17 April 2022
upvoted 3 times
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Jojo_star
3 years ago
this question appear in Microsoft course sample question in Coursera, while I am sure the answer is classification, but the correct one is clustering
upvoted 1 times
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Pravda
3 years, 1 month ago
On exam 3.3.2022
upvoted 2 times
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Yankam
3 years, 4 months ago
classification is the correct solution
upvoted 1 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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