Master the Art of Continual Learning in Machine Learning Models with this Algori...
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Questions and Answers

Which type of models can be updated with just one data sample?

  • Tree-based models
  • Neural network models (correct)
  • Collaborative filtering models
  • Matrix-based models

    • Which type of models require the entire dataset to be used before performing dimensionality reduction?

  • Matrix-based models
  • Neural network models
  • Tree-based models
  • Collaborative filtering models (correct)

    • What is the purpose of continual learning?

  • To perform A/B testing
  • To build user-item matrices
  • To reduce the dimensionality of the dataset
  • To update models frequently (correct)

    • What is one of the challenges of continual learning?

    <p>Updating models too frequently</p> Signup and view all the answers

    What is the 22 Algorithm Challenge?

    <p>A challenge specific to matrix-based and tree-based models</p> Signup and view all the answers

    Which model can be updated with just one data sample?

    <p>Neural network model</p> Signup and view all the answers

    What is the purpose of shadow development?

    <p>To test models in production</p> Signup and view all the answers

    What is the technique used by the collaborative filtering model?

    <p>Dimensionality reduction</p> Signup and view all the answers

    Which type of testing involves releasing new features to a small subset of users?

    <p>Canary Release</p> Signup and view all the answers

    Which model requires the entire dataset to be used before performing dimensionality reduction?

    <p>Collaborative filtering model</p> Signup and view all the answers

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