Test Your AI Skills With Our AI Quiz!

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| By Surajit Dey
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Quizzes Created: 550 | Total Attempts: 192,444
| Attempts: 2,377
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  • 1/20 Questions

    Which field is closely related to AI?

    • Astrology
    • Biology
    • Chemistry
    • Computer Science
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About This Quiz

Explore the realm of Artificial Intelligence (AI) with this interesting quiz by testing your knowledge on AI's fundamental concepts and applications. Get your brain cells running as you dive into the depths of AI's significance, from its acronym, to its close affiliation with Computer Science.

Take a ride through the neural network concept to learn about Neural Networks' role and grasp the essence of the methods in which AI machines learn. Unveil the various types of AI assistants developed by companies and more!

Do you know which language is the go-to programming language for AI enthusiasts? How much do you know about Machine Learning? Are you smart enough to answer all the questions correctly? As the quiz progress from an easy to a hard level, test your AI proficiency to know whether you're the true master of the world of computers.

Test Your Ai Skills With Our Ai Quiz! - Quiz

Quiz Preview

  • 2. 

    What does AI stand for?

    • Artificial Indentation

    • Advanced Intelligence

    • Automated Interaction

    • Artificial Intelligence

    Rate this question:

  • 3. 

    What is the primary goal of AI?

    • Acquiring Insects

    • Achieving Illusions

    • Analyzing Individuals

    • Autonomous Intelligence

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  • 4. 

    Which programming language is often used for AI?

    • Python

    • Klingon

    • EmojiScript

    • Java

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  • 5. 

    What is the Turing Test?

    • A test for robots

    • A test for measuring time

    • A test for intelligent behavior

    • A test for creativity

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  • 6. 

    In the context of artificial intelligence (AI), which algorithmic approach is specifically designed to model the way the human brain operates, allowing it to learn from large amounts of data through layers of processing?

    • Genetic Algorithms

    • Support Vector Machines

    • Neural Networks

    • Decision Trees

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  • 7. 

    In machine learning, what does 'supervised learning' refer to?

    • Learning from labeled data

    • Learning from unstructured data

    • Learning without any guidance

    • Learning from external sources

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  • 8. 

    What does the 'loss function' in a machine learning model represent?

    • The accuracy of the model

    • The difference between predicted and actual

    • The number of features used in the model

    • The regularization strength

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  • 9. 

    Which activation function is commonly used in hidden layers of neural networks?

    • ReLU (Rectified Linear Activation)

    • Sigmoid

    • Tanh (Hyperbolic Tangent)

    • Linear

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  • 10. 

    In Python, what is 'NumPy'?

    • A library for natural language processing

    • A library for numerical computations

    • A machine learning framework

    • A Python visualization library

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  • 11. 

    What is machine learning?

    • The independent accession of knowledge through the use of man-made programs

    • The precise accession of knowledge through the use of man-made programs

    • The independent accession of knowledge through the use of computer programs

    • The precise accession of knowledge through the use of computer programs

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  • 12. 

    Which of these is used for sequential data processing in neural networks?

    • CNN (Convolutional Neural Network)

    • RNN (Recurrent Neural Network)

    • GAN (Generative Adversarial Network)

    • SVM (Support Vector Machine)

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  • 13. 

    What does the term "neural network" refer to?

    • A network of brains

    • A computer's memory

    • A complex algorithm

    • A system of interconnected nodes

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  • 14. 

    Which of the following is NOT a type of machine learning algorithm?

    • K-Means Clustering

    • Decision Tree

    • Gradient Descent

    • Image Compression

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  • 15. 

    What is reinforcement learning in AI?

    • Teaching robots good manners

    • Learning from rewards and punishments

    • Teaching AI to resist change

    • Learning by observation

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  • 16. 

    In Python, which library is commonly used for data manipulation and analysis?

    • TensorFlow

    • PyTorch

    • Pandas

    • Scikit-learn

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  • 17. 

    What is the purpose of the 'activation function' in a neural network neuron?

    • Introduce non-linearity

    • Normalize the input data

    • Regularize the model

    • Control the learning rate

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  • 18. 

    What is the 'bias' term in a neural network neuron responsible for?

    • Scaling the input data

    • Regularizing the model

    • Introducing non-linearity

    • Shifting the output

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  • 19. 

    What is the use of Global Interpreter Lock (GIL) in Python?

    • A mechanism for locking global variables in multithreaded programs.

    • A technique to prevent race conditions in Python programs.

    • A feature that ensures Python code is executed in a global context.

    • A mutex that allows only one thread to execute Python bytecode at a time.

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  • 20. 

    Which supervised learning algorithm is used for both classification and regression problems?

    • Decision Tree

    • Support Vector Machine (SVM)

    • K-Nearest Neighbors (KNN)

    • Linear Regression

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Quiz Review Timeline (Updated): Apr 9, 2024 +

Our quizzes are rigorously reviewed, monitored and continuously updated by our expert board to maintain accuracy, relevance, and timeliness.

  • Current Version
  • Apr 09, 2024
    Quiz Edited by
    ProProfs Editorial Team
  • Aug 16, 2023
    Quiz Created by
    Surajit Dey
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