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    Home»Machine Learning MCQ»Machine Learning MCQ with Answers 2021 (updated)
    Machine Learning MCQ

    Machine Learning MCQ with Answers 2021 (updated)

    DeepikaBy DeepikaOctober 5, 2021Updated:January 19, 2022No Comments4 Mins Read
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    Machine Learning MCQ Questions, that checks your basic knowledge of Machine Learning. This Machine Learning MCQ Test contains 20 multiple-choice questions. You have to select the right answer to every question to check your final preparation completely free.

    Table of Contents

    •  Machine Learning MCQ Quiz & Online Test to Test your Knowledge
      • 1. What is machine learning?
      • 2. Machine Learning is a field of AI consisting of learning algorithms that …………..
      • 3. ………….. is a widely used and effective machine learning algorithm based on the idea of bagging.
      • 4. What is the disadvantage of decision trees?
      • 5. …………….. is a widely used and effective machine learning algorithm based on the idea of bagging.
      • 6. How can you handle missing or corrupted data in a dataset?
      • 7. Which of the followings are most widely used metrics and tools to assess a classification model?
      • 8. Machine learning algorithms build a model based on sample data, known as ……..
      • 9. Machine learning is a subset of …………….
      • 10. A Machine Learning technique that helps in detecting the outliers in data.
      • 11. Who is the father of Machine Learning?
      • 12. What is the most significant phase in a genetic algorithm?
      • 13. Which one in the following is not Machine Learning disciplines?
      • 14. Machine Learning has various function representation, which of the following is not function of symbolic?
      • 15. ………………. algorithms enable the computers to learn from data, and even improve themselves, without being explicitly programmed.
      • 16. What are the three types of Machine Learning?
      • 17. Which of the following is not a supervised learning?
      • 18. Real-Time decisions, Game AI, Learning Tasks, Skill acquisition, and Robot Navigation are applications of
      • 19. Which of the following is not numerical functions in the various function representation of Machine Learning?
      • 20. Common classes of problems in machine learning is
    • Additional Reading
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     Machine Learning MCQ Quiz & Online Test to Test your Knowledge

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    1. What is machine learning?

    1.  The selective acquisition of knowledge through the use of manual programs
    2.  The selective acquisition of knowledge through the use of computer programs
    3.  The autonomous acquisition of knowledge through the use of manual programs
    4.  The autonomous acquisition of knowledge through the use of computer programs

    View Answer: The autonomous acquisition of knowledge through the use of computer programs

    2. Machine Learning is a field of AI consisting of learning algorithms that …………..

    •  At executing some task
    •  Over time with experience
    •  Improve their performance
    •  All of the above

     View Answer: All of the above

    3. ………….. is a widely used and effective machine learning algorithm based on the idea of bagging.

    •  Regression
    •  Classification
    •  Decision Tree
    •  Random Forest

     View Answer: Random Forest

    4. What is the disadvantage of decision trees?

    •  Factor analysis
    •  Decision trees are robust to outliers
    •  Decision trees are prone to be overfit
    •  All of the above

     View Answer: Decision trees are prone to be overfit

    5. …………….. is a widely used and effective machine learning algorithm based on the idea of bagging.

    •  Regression
    •  Classification
    •  Random Forest
    •  Decision Tree

     View Answer: Random Forest

    6. How can you handle missing or corrupted data in a dataset?

    •  Drop missing rows or columns
    •  Assign a unique category to missing values
    •  Replace missing values with mean/median/mode
    •  All of the above

     View Answer: All of the above

    7. Which of the followings are most widely used metrics and tools to assess a classification model?

    •  Confusion matrix
    •  Cost-sensitive accuracy
    •  Area under the ROC curve
    •  All of the above

     View Answer: All of the above

    8. Machine learning algorithms build a model based on sample data, known as ……..

    •  Training Data
    •  Transfer Data
    •  Data Training
    •  None of the above

     View Answer:Training Data

    9. Machine learning is a subset of …………….

    •  Deep Learning
    •  Artificial Intelligence
    •  Data Learining
    •  None of the above

     View Answer: Artificial Intelligence

    10. A Machine Learning technique that helps in detecting the outliers in data.

    •  Clustering
    •  Classification
    •  Anamoly Detection
    •  All of the above

    View Answer: Anamoly Detection

    11. Who is the father of Machine Learning?

    •  Geoffrey Hill
    •  Geoffrey Chaucer
    •  Geoffrey Everest Hinton
    •  None of the above

     View Answer: Geoffrey Everest Hinton

    12. What is the most significant phase in a genetic algorithm?

    •  Selection
    •  Mutation
    •  Crossover
    •  Fitness function

     View Answer: Crossover

    13. Which one in the following is not Machine Learning disciplines?

    •  Physics
    •  Information Theory
    •  Neurostatistics
    •  Optimization Control

     View Answer: Neurostatistics

    14. Machine Learning has various function representation, which of the following is not function of symbolic?

    •  Decision Trees
    •  Rules in propotional Logic
    •  Rules in first-order predicate logic
    •  Hidden-Markov Models (HMM)

     View Answer: Hidden-Markov Models (HMM)

    15. ………………. algorithms enable the computers to learn from data, and even improve themselves, without being explicitly programmed.

    •  Deep Learning
    •  Machine Learning
    •  Artificial Intelligence
    •  None of the above

     View Answer: Machine Learning

    16. What are the three types of Machine Learning?

    •  Supervised Learning
    •  Unsupervised Learning
    •  Reinforcement Learning
    •  All of the above

     View Answer: All of the above

    17. Which of the following is not a supervised learning?

    •  PCA
    •  Naive Bayesian
    •  Linear Regression
    •  Decision Tree Answer

     View Answer: PCA

    18. Real-Time decisions, Game AI, Learning Tasks, Skill acquisition, and Robot Navigation are applications of

    •  Reinforcement Learning
    •  Supervised Learning: Classification
    •  Unsupervised Learning: Regression
    •  None of the above

     View Answer: Reinforcement Learning

    19. Which of the following is not numerical functions in the various function representation of Machine Learning?

    •  Case-based
    •  Neural Network
    •  Linear Regression
    •  Support Vector Machines

     View Answer: Case-based

    20. Common classes of problems in machine learning is

    •  Clustering
    •  Regression
    •  Classification
    •  All of the above

      Answer: All of the above

    Web Developer Interview questions 2021 [updated]

    Thanks for reading, and enjoy coding ❤.

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    Thank you 🙂 Keep Learning !

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    Hey, I'm Deepika a professional blogger and Experienced in Android Developer,Flutter Developer, PHP Web Developer. Technically sound Post graduate pursuing M.Tech in Computer Science and Engineering. I Love to gain every type of knowledge that's why i have done many courses in different fields like engineering and technology. Skilled in Java, HTML, CSS,Bootstrap,j query PHP, Python, SQL, C, C++,Firebase,MySQL,SQLite,JavaScript. Also I have learned Networking.

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