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Training Models in Machine Learning
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Training Models in Machine Learning

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Questions and Answers

In machine learning, which method refers to the process of teaching a machine learning algorithm to make predictions or decisions based on input data?

  • Training model (correct)
  • Batch gradient descent
  • Computational complexity
  • Gradient descent

    • What is the goal of training a model in machine learning?

  • To analyze the efficiency and scalability of algorithms
  • To enable the model to generalize well to new, unseen data (correct)
  • To find the best-fitting linear relationship
  • To minimize computational complexity

    • Which method in machine learning is concerned with analyzing the efficiency and scalability of algorithms?

  • Computational complexity (correct)
  • Mini batch gradient descent
  • Stochastic gradient descent
  • Gradient descent

    • What is the basic idea behind linear regression in machine learning?

    <p>$y = mx + c$ models the relationship between dependent and independent variables</p> Signup and view all the answers

    Which algorithm in machine learning has a time complexity of $O(n log n)$?

    <p>KNN algorithm</p> Signup and view all the answers

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