Clustering and Unsupervised Learning Concepts
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Questions and Answers

Which of the following is NOT an example of supervised learning?

  • Forecasting house prices using historical sales data with actual sale prices
  • Grouping customers based on their purchasing patterns without any predetermined classes (correct)
  • Classifying whether a person survived the Titanic sinking based on passenger information and survival data
  • Predicting ice cream sales based on weather data and actual sales figures

    • What is the main advantage of unsupervised learning techniques over supervised learning?

  • Unsupervised learning is easier to implement and requires less computational resources
  • Unsupervised learning can handle larger datasets more efficiently
  • Unsupervised learning can discover patterns and relationships without relying on labeled data (correct)
  • Unsupervised learning models are generally more accurate than supervised learning models

    • Which of the following is NOT a common application of unsupervised learning?

  • Image classification to identify objects or scenes in images (correct)
  • Clustering customers based on their purchasing behavior for targeted marketing
  • Recommender systems for suggesting products or content based on user preferences
  • Anomaly detection in network traffic or financial transactions

    • Which of the following techniques is an example of unsupervised learning?

    <p>K-means clustering</p> Signup and view all the answers

    What is the main challenge in evaluating the performance of unsupervised learning models?

    <p>Difficulty in defining appropriate evaluation metrics</p> Signup and view all the answers

    In the context of unsupervised learning, what does the term 'similarity' refer to?

    <p>The degree of resemblance between data points based on their features</p> Signup and view all the answers

    What is the name of the most widely used AI technology for unsupervised learning?

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

    Which of the following is NOT a way that AI is used in sports according to the passage?

    <p>Predicting game outcomes</p> Signup and view all the answers

    What was the main insight that the data analyst in the 'Moneyball' story used to improve the team's performance?

    <p>Identifying statistically undervalued players</p> Signup and view all the answers

    What is the purpose of using a clustering algorithm on player data according to the passage?

    <p>To group players with similar qualities/characteristics</p> Signup and view all the answers

    What is the key benefit of finding undervalued players using a clustering algorithm, as described in the passage?

    <p>It improves the team's overall performance and competitiveness</p> Signup and view all the answers

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