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Data Science Multiple Choice Questions (MCQ) Online Test #16


Data Science MCQ #151:

In exploratory data analysis, which method is used to summarize data through visual representations such as plots and charts?

About Data Science Multiple Choice Question (MCQ) #151:
This ICT Multiple Choice Question (ICT MCQ) #151 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies the method used to summarize data through visual representations such as plots and charts in exploratory data analysis.

Data Science MCQ #152:

Which of the following is an example of a supervised learning algorithm used for classification tasks?

About Data Science Multiple Choice Question (MCQ) #152:
This ICT Multiple Choice Question (ICT MCQ) #152 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies an example of a supervised learning algorithm used for classification tasks.

Data Science MCQ #153:

What is a common method for feature selection in regression models?

About Data Science Multiple Choice Question (MCQ) #153:
This ICT Multiple Choice Question (ICT MCQ) #153 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies a common method for feature selection in regression models.

Data Science MCQ #154:

Which of the following algorithms is used for dimensionality reduction and involves projecting data onto a lower-dimensional subspace?

About Data Science Multiple Choice Question (MCQ) #154:
This ICT Multiple Choice Question (ICT MCQ) #154 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies the algorithm used for dimensionality reduction that involves projecting data onto a lower-dimensional subspace.

Data Science MCQ #155:

What is the benefit of applying data science to healthcare informatics?

About Data Science Multiple Choice Question (MCQ) #155:
This ICT Multiple Choice Question (ICT MCQ) #155 focuses on Data Science within the "Advanced ICT MCQ" category. This question addresses the benefit of applying data science to healthcare informatics.

Data Science MCQ #156:

What role does data science play in personalizing recommendations for users in social media platforms?

About Data Science Multiple Choice Question (MCQ) #156:
This ICT Multiple Choice Question (ICT MCQ) #156 focuses on Data Science within the "Advanced ICT MCQ" category. This question addresses the role of data science in personalizing recommendations for users in social media platforms.

Data Science MCQ #157:

What is a key advantage of integrating data science with blockchain technology?

About Data Science Multiple Choice Question (MCQ) #157:
This ICT Multiple Choice Question (ICT MCQ) #157 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies a key advantage of integrating data science with blockchain technology.

Data Science MCQ #158:

What is an emerging trend in data science careers?

About Data Science Multiple Choice Question (MCQ) #158:
This ICT Multiple Choice Question (ICT MCQ) #158 focuses on Data Science within the "Advanced ICT MCQ" category. This question explores an emerging trend in data science careers.

Data Science MCQ #159:

How does data science contribute to cloud computing for large-scale data processing?

About Data Science Multiple Choice Question (MCQ) #159:
This ICT Multiple Choice Question (ICT MCQ) #159 focuses on Data Science within the "Advanced ICT MCQ" category. This question explores how data science contributes to cloud computing for large-scale data processing.

Data Science MCQ #160:

What is a key aspect of future trends in data science?

About Data Science Multiple Choice Question (MCQ) #160:
This ICT Multiple Choice Question (ICT MCQ) #160 focuses on Data Science within the "Advanced ICT MCQ" category. This question explores a key aspect of future trends in data science.
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  • This online test, titled "Data Science Multiple Choice Questions (MCQ) Online Test #16" is designed for individuals at the advanced level and focuses on "Data Science". It consists of 10 carefully crafted multiple choice questions (MCQs) with five options each that assess advanced knowledge and understanding of the subject matter. This test aims to help participants evaluate their grasp of key concepts related to "Data Science".