Classical Data Analysis Day 3 Master in Big Data & A.I. Solutions
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Questions and Answers

What is the main benefit of using Polynomial Regression?

  • It requires a linear relationship between variables
  • It simplifies the model by reducing the number of features
  • It is computationally less expensive than linear regression
  • It can capture more complex relationships in the data (correct)

    • In terms of Bias vs Variance trade-off, what does high bias indicate?

  • Underfitting
  • Overfitting
  • Model is too complex
  • Model is too simple (correct)

    • What is the purpose of Regularization in machine learning models?

  • To introduce more noise into the data
  • To speed up the training process
  • To increase model complexity
  • To reduce model complexity to prevent overfitting (correct)

    • Which machine learning technique is suitable for handling non-linear decision boundaries?

    <p>Support Vector Machines (SVM)</p> Signup and view all the answers

    What is the key limitation of Linear Regression modeling?

    <p>It assumes a linear relationship between variables</p> Signup and view all the answers

    Which technique focuses on grouping data points based on their similarity?

    <p>Hierarchical Clustering</p> Signup and view all the answers

    In what kind of learning do we know the labels for the input data during training?

    <p>Supervised Learning</p> Signup and view all the answers

    Which technique is used for dimensionality reduction in machine learning?

    <p>Principal Component Analysis (PCA)</p> Signup and view all the answers

    What is the primary objective of Ensemble Methods in machine learning?

    <p>Improve model performance by combining multiple models</p> Signup and view all the answers

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