Machine Learning Basics

36 MCQs

MCQs

36 questions · 30 min · 36 marks

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Sample questions

The first 5 of 36. Try each one, then tap to see the answer.

  1. Question 1

    Machine learning allows systems to:

    • AWork without data
    • BLearn from data and improve
    • COnly store data
    • DReplace databases
    Show answer

    Answer: B

    Machine learning lets systems learn from data and improve.

  2. Question 2

    The type of machine learning that uses labelled data is:

    • AUnsupervised learning
    • BReinforcement learning
    • CSupervised learning
    • DRule-based learning
    Show answer

    Answer: C

    Supervised learning trains on labelled data.

  3. Question 3

    The machine learning method that learns through rewards and penalties is:

    • ASupervised learning
    • BUnsupervised learning
    • CReinforcement learning
    • DRule-based learning
    Show answer

    Answer: C

    Reinforcement learning uses rewards and penalties.

  4. Question 4

    Machine learning is a subfield of:

    • AData science
    • BNetwork engineering
    • CDatabase design
    • DWeb development
    Show answer

    Answer: A

    Machine learning is a subfield of data science.

  5. Question 5

    Machine learning enables systems to improve from experience without:

    • AUsing any data
    • BRunning on computers
    • CStoring results
    • DExplicit programming
    Show answer

    Answer: D

    Systems improve from experience without being explicitly programmed.

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