Data Science Multiple Choice Questions (MCQ) Online Test #8

Data Science MCQ #71:

What is Linear Discriminant Analysis (LDA) used for in dimensionality reduction?

Data Science MCQ #72:

What is a key benefit of integrating data science with Business Intelligence (BI) tools?

Data Science MCQ #73:

What is the role of data science in influencer marketing on social media?

Data Science MCQ #74:

How can data science improve threat detection in cybersecurity?

Data Science MCQ #75:

How does data science address bias in data analysis?

Data Science MCQ #76:

How does data science contribute to biomedical informatics in patient care?

Data Science MCQ #77:

What is a significant advantage of using data science for environmental monitoring?

Data Science MCQ #78:

In data science, which technique is best suited for handling unstructured data like text and speech?

Data Science MCQ #79:

Which Python library provides a high-level interface for creating statistical graphics?

Data Science MCQ #80:

What is the primary difference between supervised and unsupervised learning?

Unsupervised learning is used for regression, while supervised learning is used for dimensionality reduction

Unsupervised learning requires labeled data, while supervised learning does not

Supervised learning is used for clustering, while unsupervised learning is used for classification

Supervised learning requires labeled data, while unsupervised learning does not

Supervised learning is used for time series analysis, while unsupervised learning is used for text mining

About Data Science Multiple Choice Question (MCQ) #80:
This ICT Multiple Choice Question (ICT MCQ) #80 focuses on Data Science within the "Advanced ICT MCQ" category. This question explains the primary difference between supervised and unsupervised learning.

This page was last modified on Dec 30, 2024 by ICT MCQ Hub.

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Data Science Multiple Choice Questions (MCQ) Online Test #8

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