TEST YOUR ICT SKILLS!

Machine Learning Multiple Choice Questions (MCQ) Online Test #10


Machine Learning MCQ #91:

How does Gradient Boosting typically improve model performance?

About Machine Learning Multiple Choice Question (MCQ) #91:
This ICT Multiple Choice Question (ICT MCQ) #91 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question explores how Gradient Boosting improves model performance.

Machine Learning MCQ #92:

Which technique is commonly used to prevent vanishing gradients in RNNs?

About Machine Learning Multiple Choice Question (MCQ) #92:
This ICT Multiple Choice Question (ICT MCQ) #92 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question evaluates techniques used to prevent vanishing gradients in RNNs.

Machine Learning MCQ #93:

Which criterion is commonly used to split nodes in a decision tree?

About Machine Learning Multiple Choice Question (MCQ) #93:
This ICT Multiple Choice Question (ICT MCQ) #93 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question focuses on the criterion commonly used to split nodes in a decision tree.

Machine Learning MCQ #94:

Which machine learning library is known for its ease of use and rich set of tools for classical machine learning algorithms?

About Machine Learning Multiple Choice Question (MCQ) #94:
This ICT Multiple Choice Question (ICT MCQ) #94 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question focuses on identifying a machine learning library known for its ease of use and tools for classical machine learning algorithms.

Machine Learning MCQ #95:

What is a key ethical concern when deploying machine learning models?

About Machine Learning Multiple Choice Question (MCQ) #95:
This ICT Multiple Choice Question (ICT MCQ) #95 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question examines key ethical concerns in deploying machine learning models.

Machine Learning MCQ #96:

How is machine learning used in finance for fraud detection?

About Machine Learning Multiple Choice Question (MCQ) #96:
This ICT Multiple Choice Question (ICT MCQ) #96 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question focuses on how machine learning is applied in finance for fraud detection.

Machine Learning MCQ #97:

How is machine learning used to improve customer experience in e-commerce?

About Machine Learning Multiple Choice Question (MCQ) #97:
This ICT Multiple Choice Question (ICT MCQ) #97 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question examines how machine learning improves customer experience in e-commerce.

Machine Learning MCQ #98:

What is a key challenge in applying machine learning to game AI?

About Machine Learning Multiple Choice Question (MCQ) #98:
This ICT Multiple Choice Question (ICT MCQ) #98 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question focuses on a key challenge in applying machine learning to game AI.

Machine Learning MCQ #99:

How can machine learning improve cloud-based security?

About Machine Learning Multiple Choice Question (MCQ) #99:
This ICT Multiple Choice Question (ICT MCQ) #99 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question focuses on how machine learning can improve cloud-based security.

Machine Learning MCQ #100:

What type of machine learning algorithm would you use to predict a numerical value, such as the price of a house?

About Machine Learning Multiple Choice Question (MCQ) #100:
This ICT Multiple Choice Question (ICT MCQ) #100 focuses on Machine Learning within the "Advanced ICT MCQ" category. This question determines which type of machine learning algorithm is used to predict numerical values.
This page was last modified on by ICT MCQ Hub.


  • This online test, titled "Machine Learning Multiple Choice Questions (MCQ) Online Test #10" is designed for individuals at the advanced level and focuses on "Machine Learning". 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 "Machine Learning".