Recent questions and answers in Machine Learning

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Which method is frequently used to prevent overfitting?

answered Mar 16 in Machine Learning by SakshiSharma (30.8k points)

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What are the two methods used for the calibration in Supervised Learning?

answered Mar 16 in Machine Learning by SakshiSharma (30.8k points)

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What is a model selection in Machine Learning?

answered Mar 16 in Machine Learning by SakshiSharma (30.8k points)

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What is Inductive Logic Programming in Machine Learning?

answered Mar 16 in Machine Learning by SakshiSharma (30.8k points)

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In what areas Pattern Recognition is used?

answered Mar 16 in Machine Learning by SakshiSharma (30.8k points)

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What are the advantages of Naive Bayes?

answered Mar 16 in Machine Learning by SakshiSharma (30.8k points)

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What is classifier in machine learning?

answered Mar 16 in Machine Learning by SakshiSharma (30.8k points)

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What is the difference between artificial learning and machine learning?

answered Mar 16 in Machine Learning by SakshiSharma (30.8k points)

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What is algorithm independent machine learning?

answered Mar 16 in Machine Learning by SakshiSharma (30.8k points)

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Explain what is the function of ‘Supervised Learning’?

answered Mar 16 in Machine Learning by SakshiSharma (30.8k points)

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Explain what is the function of ‘Unsupervised Learning’?

answered Mar 16 in Machine Learning by SakshiSharma (30.8k points)

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What is not Machine Learning?

answered Mar 16 in Machine Learning by SakshiSharma (30.8k points)

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List down various approaches for machine learning?

answered Mar 16 in Machine Learning by SakshiSharma (30.8k points)

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What is ‘Training set’ and ‘Test set’?

answered Mar 16 in Machine Learning by SakshiSharma (30.8k points)

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Which of the following methods can not achieve zero training error on any linearly separable dataset?

answered Jan 12 in Machine Learning by john ganales (13.1k points)

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Wrapper methods are hyper-parameter selection methods that

answered Jan 12 in Machine Learning by john ganales (13.1k points)

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We usually use feature normalization before using the Gaussian kernel in SVM.

answered Jan 12 in Machine Learning by john ganales (13.1k points)

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Suppose you are using RBF kernel in SVM with high Gamma value. What does this signify?

answered Jan 12 in Machine Learning by john ganales (13.1k points)

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Suppose your model is demonstrating high variance across the different training sets. Which of the following is NOT valid way to try and reduce the variance?

answered Jan 12 in Machine Learning by john ganales (13.1k points)

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You trained a binary classifier model which gives very high accuracy on the training data, but much lower accuracy on validation data. Which is false.

answered Jan 12 in Machine Learning by john ganales (13.1k points)

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What is/are true about kernel in SVM? 1. Kernel function map low dimensional data to high dimensional space 2. It’s a similarity function

answered Jan 12 in Machine Learning by john ganales (13.1k points)

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Suppose you have trained an SVM with linear decision boundary after training SVM,

answered Jan 12 in Machine Learning by john ganales (13.1k points)

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Which of the following can help to reduce overfitting in an SVM classifier?

answered Jan 12 in Machine Learning by john ganales (13.1k points)

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How can SVM be classified?

answered Jan 12 in Machine Learning by john ganales (13.1k points)

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

answered Jan 12 in Machine Learning by john ganales (13.1k points)

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How does the bias-variance decomposition of a ridge regression estimator compare with that of ordinary least squares regression?

answered Jan 12 in Machine Learning by john ganales (13.1k points)

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The kernel trick

answered Jan 12 in Machine Learning by john ganales (13.1k points)

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The cost parameter in the SVM means:

answered Jan 12 in Machine Learning by john ganales (13.1k points)

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Which of the following evaluation metrics can not be applied in case of logistic regression output to compare with target?

answered Jan 12 in Machine Learning by john ganales (13.1k points)

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The firing rate of a neuron

answered Jan 12 in Machine Learning by john ganales (13.1k points)

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