Machine Learning Test

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| By Livyn
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Machine Learning Test - Quiz

Machine learning is a field of computer science that focuses on making machines learn. It's also a revolutionary aspect of the science world and as we're all part of that, I wonder how much you know about it.


Questions and Answers
  • 1. 

    When was the name coined?

    • A.

      1987

    • B.

      1959

    • C.

      1978

    • D.

      1990

    Correct Answer
    B. 1959
    Explanation
    The name was coined in 1959.

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  • 2. 

    Who coined the name?

    • A.

      Arthur Samuel

    • B.

      Jerry Samuel

    • C.

      Fredrick Samuel

    • D.

      Jacob Samuel

    Correct Answer
    A. Arthur Samuel
    Explanation
    Arthur Samuel is credited with coining the name.

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  • 3. 

    Who provided a formal definition of machine learning?

    • A.

      Tom A. Mitchell

    • B.

      Tom M. Mitchell

    • C.

      Tom K. Mitchell

    • D.

      Tom J. Mitchell

    Correct Answer
    B. Tom M. Mitchell
    Explanation
    Tom M. Mitchell provided a formal definition of machine learning.

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  • 4. 

    Machine learning is divided into how many categories?

    • A.

      2

    • B.

      3

    • C.

      4

    • D.

      5

    Correct Answer
    A. 2
    Explanation
    Machine learning is divided into two main categories: supervised learning and unsupervised learning. In supervised learning, the algorithm is trained on labeled data, where the input and the desired output are provided. The algorithm learns from this data to make predictions or decisions. In unsupervised learning, the algorithm is trained on unlabeled data, where there are no predefined outputs. The algorithm learns patterns and structures in the data to make sense of it. These two categories cover the majority of machine learning techniques and applications.

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  • 5. 

    One of them is?

    • A.

      Supervised learning

    • B.

      Semi-supervised learning

    • C.

      Active learning

    • D.

      Reinforcement learning

    Correct Answer
    A. Supervised learning
    Explanation
    Supervised learning is a type of machine learning where the model is trained using labeled data, meaning that the input data is accompanied by the correct output. The model learns from this labeled data to make predictions or classify new, unseen data. In supervised learning, the algorithm learns from a known dataset and tries to generalize the patterns to make accurate predictions on new, unseen data. This is in contrast to other options like semi-supervised learning, active learning, and reinforcement learning, which have different approaches and objectives in training the model.

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  • 6. 

    What's the name of the other category?

    • A.

      Unsupervised learning

    • B.

      Semi-supervised learning

    • C.

      Reinforcement learning

    • D.

      Active learning

    Correct Answer
    A. Unsupervised learning
    Explanation
    Unsupervised learning is the correct answer because it refers to a type of machine learning where the algorithm learns patterns and relationships from unlabeled data without any specific guidance or supervision. In this category, the algorithm explores the data and identifies hidden structures or clusters on its own. It is different from supervised learning, where the algorithm learns from labeled data, and reinforcement learning, where the algorithm learns through trial and error with a reward system. Semi-supervised learning and active learning are other categories, but they are not the "other" category mentioned in the question.

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  • 7. 

    Inputs are divided into how many in Classifications?

    • A.

      2

    • B.

      3

    • C.

      4

    • D.

      5

    Correct Answer
    A. 2
    Explanation
    The inputs are divided into two classifications.

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  • 8. 

    What happens in clustering?

    • A.

      An exponential of the inputs is found

    • B.

      Inputs are multiplied

    • C.

      Inputs are divided into groups

    • D.

      Sets are multiplied

    Correct Answer
    C. Inputs are divided into groups
    Explanation
    In clustering, the inputs are divided into groups based on their similarities or patterns. This process involves grouping similar data points together and separating them from other dissimilar data points. By dividing the inputs into groups, clustering helps in identifying distinct clusters or categories within a dataset, which can be useful for various purposes such as data analysis, pattern recognition, and decision-making.

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  • 9. 

    What is the nationality of Arthur Samuel?

    • A.

      London

    • B.

      America

    • C.

      Netherlands

    • D.

      Poland

    Correct Answer
    B. America
    Explanation
    Arthur Samuel's nationality is America because the question asks for his nationality and America is the only option that represents a nationality.

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  • 10. 

    Where was the name coined?

    • A.

      IBM

    • B.

      MIT

    • C.

      Microsoft

    • D.

      Google headquarters

    Correct Answer
    A. IBM
    Explanation
    The name "IBM" was coined at IBM itself.

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  • Current Version
  • Oct 07, 2024
    Quiz Edited by
    ProProfs Editorial Team
  • Mar 12, 2018
    Quiz Created by
    Livyn
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