Databricks Exam Databricks-Certified-Professional-Data-Scientist Topic 3 Question 56 Discussion

Actual exam question for Databricks's Databricks-Certified-Professional-Data-Scientist exam

Question #: 56
Topic #: 3

[All Databricks-Certified-Professional-Data-Scientist Questions]

Which is an example of supervised learning?

APCA

Bk-means clustering

CSVD

DEM

ESVM
SVMs can be used to solve various real world problems:
* SVMs are helpful in text and hypertext categorization as their application can significantly reduce the need for labeled training instances in both the standard inductive and transductive settings.
* Classification of images can also be performed using SVMs. Experimental results show that SVMs achieve significantly higher search accuracy than traditional query refinement schemes after just three to four rounds of relevance feedback.
* SVMs are also useful in medical science to classify proteins with up to 90% of the compounds classified correctly.
* Hand-written characters can be recognized using SVM

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Suggested Answer: B

by Kerry at Apr 13, 2024, 02:36 AM

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Clarence

1 months ago

SVM? More like 'Super Versatile Machine'! It can do all sorts of cool stuff, like classifying proteins and recognizing handwritten characters. Who needs a human when you've got an SVM, am I right?

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Jamey

3 days ago

I agree, SVMs are really versatile and can be used for a wide range of tasks.

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1 months ago

PCA and k-means are both unsupervised learning techniques, so they wouldn't be examples of supervised learning. SVD and EM are also not supervised learning.

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Erinn

5 days ago

Classification of images can also be performed using SVMs. Experimental results show that SVMs achieve significantly higher search accuracy than traditional query refinement schemes after just three to four rounds of relevance feedback.

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Gregoria

6 days ago

SVMs are helpful in text and hypertext categorization as their application can significantly reduce the need for labeled training instances.

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Latia

28 days ago

E) SVM

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2 months ago

E) SVM is an example of supervised learning.

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