CSCI417 Machine Intelligence Lecture #3
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Questions and Answers

Which of the following topics is related to classifying with probability theory?

  • Introduction to Neural Networks - Building NN for classification (binary/multiclass)
  • Logistic regression (correct)
  • Support vector machines
  • Ensemble learning and improving classification with the AdaBoost meta-algorithm
  • For a woman who works at an office, which app is recommended?

  • Pokemon Go
  • Snapchat
  • Work
  • WhatsApp (correct)
  • Between Gender and Occupation, which one seems more decisive for predicting what app the users will download?

  • Occupation (correct)
  • Both are equally decisive
  • Gender
  • Neither Gender nor Occupation is decisive
  • Between a horizontal and a vertical line, which one is more likely to cut the data better?

    <p>Vertical line</p> Signup and view all the answers

    In the given dataset, which split is likely to separate the data points into two distinct groups based on the feature X2?

    <p>Split 1</p> Signup and view all the answers

    In non-parametric estimation, what does it mean for a model to be non-parametric?

    <p>The number of parameters is not fixed and can grow depending on the size of the data</p> Signup and view all the answers

    What does a decision tree implement?

    <p>A hierarchical data structure implementing the divide-and-conquer strategy</p> Signup and view all the answers

    What method does the ID3 algorithm use for selecting the best attribute?

    <p>Choosing the attribute that has the largest expected information gain</p> Signup and view all the answers

    In decision tree learning, when should you use a decision tree?

    <p>At any scenario where learning data has attribute value pairs</p> Signup and view all the answers

    What is a common way to measure impurity in decision tree learning?

    <p>Minimizing entropy</p> Signup and view all the answers

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