Databricks Exam Databricks-Certified-Professional-Data-Scientist Topic 6 Question 41 Discussion

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

Question #: 41
Topic #: 6

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

Reducing the data from many features to a small number so that we can properly visualize it in

two or three dimensions. It is done in_______

Asupervised learning

Bun-supervised learning

Ck-Nearest Neighbors

DSupport vector machines
The opposite of supervised learning is a set of tasks known as unsupervised learning. In unsupervised learning, there's no label or target value given for the data. A task where we group similar items together is known as clustering. In unsupervised learning, we may also want to find statistical values that describe the data. This is known as density estimation. Another task of unsupervised learning may be reducing the data from many features to a small number so that we can properly visualize it in two or three dimensions

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Suggested Answer: B

by Keneth at Apr 19, 2023, 06:51 PM

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24 days ago

I think the answer is B) un-supervised learning.

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