Understanding the Three Vs in Big Data and Machine Learning
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Understanding the Three Vs in Big Data and Machine Learning

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Questions and Answers

What are the 3 Vs mentioned in the text?

  • Volume, Velocity, Variety (correct)
  • Vocal, Visual, Virtual
  • Value, Validity, Visualization
  • Variance, Vectors, Variables

    • What do the 3 Vs contribute to behind big data and machine learning models?

  • Blockchain technology
  • Cloud computing
  • Statistical models (correct)
  • Quantum computing

    • How do the 3 Vs impact big data and machine learning?

  • They have no impact on data analysis
  • They simplify decision-making processes
  • They provide challenges for data storage (correct)
  • They are used solely for visualization purposes

    • Which term is NOT associated with the 3 Vs as per the text?

    <p>Validity</p> Signup and view all the answers

    What role do the 3 Vs play in relation to statistical models?

    <p>They form the foundation for statistical models</p> Signup and view all the answers

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