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Questions and Answers
What is the purpose of unsupervised learning clustering?
What is the purpose of unsupervised learning clustering?
- To estimate the probability that an instance belongs to a particular class
- To predict a continuous output variable
- To impose a small penalty on model complexity
- To divide data into distinct groups based on similarities (correct)
In the k-means algorithm, what is done in the E-Step?
In the k-means algorithm, what is done in the E-Step?
- Assigning points to the nearest cluster center (correct)
- Guessing some cluster centers
- Setting the cluster centers to the mean
- Calculating the slope of the cost function
What is used to ensure that a model is not overfitting to the training data?
What is used to ensure that a model is not overfitting to the training data?
- Estimating the probability that an instance belongs to a particular class
- Regularization (correct)
- Imposing a small penalty on model complexity
- Setting the cluster centers to the mean
What is the definition of machine learning according to Arthur Samuel in 1959?
What is the definition of machine learning according to Arthur Samuel in 1959?
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In which type of machine learning system is the training data labeled with desired solutions or labels?
In which type of machine learning system is the training data labeled with desired solutions or labels?
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What type of machine learning system uses training data that is unlabeled?
What type of machine learning system uses training data that is unlabeled?
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What is the main advantage of using a Decision Tree?
What is the main advantage of using a Decision Tree?
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How does Lasso Regression differ from Ridge Regression?
How does Lasso Regression differ from Ridge Regression?
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What is the main idea behind Ensemble Methods like Random Forest?
What is the main idea behind Ensemble Methods like Random Forest?
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What is the key concept behind Gradient Boosting?
What is the key concept behind Gradient Boosting?
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