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Computer Science · all questions

Machine Learning
practice.

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The main disadvantage of maximum likelihood methods is that they are . . . . . . . .

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Frequent item sets is

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If there is only a discrete number of possible outcomes called . . . . . . . .

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Which of the following algorithm comes under the classification

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Which of the following are real world applications of the SVM?

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. . . . . . . . dataset with many features contains information proportional to the independence of all features and their variance.

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Which of the following sentences are true?

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Which of the following are advantages of stacking?
1. More robust model
2. better prediction
3. Lower time of execution

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Neural networks

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Reinforcement learning is particularly efficient when . . . . . . . .

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Support vectors are the data points that lie closest to the decision

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How can we assign the weights to output of different models in an ensemble?
1. Use an algorithm to return the optimal weights
2. Choose the weights using cross validation
3. Give high weights to more accurate models

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Time Complexity of k-means is given by

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Hyperplanes are decision boundaries that help classify the data points.

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If you remove the non-red circled points from the data, the decision boundary will change?

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