Machine Learning Interview Questions and Answers

0 votes

Explain what is the function of ‘Unsupervised Learning’?

asked Mar 16, 2023 in Machine Learning by SakshiSharma

0 votes

What is not Machine Learning?

asked Mar 16, 2023 in Machine Learning by SakshiSharma

0 votes

List down various approaches for machine learning?

asked Mar 16, 2023 in Machine Learning by SakshiSharma

0 votes

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

asked Mar 16, 2023 in Machine Learning by SakshiSharma

+1 vote

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

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

Wrapper methods are hyper-parameter selection methods that

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

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

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

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

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

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?

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

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.

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

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

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

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

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

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

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

How can SVM be classified?

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

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

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

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

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

The kernel trick

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

The cost parameter in the SVM means:

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

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

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

The firing rate of a neuron

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

Which of the following can only be used when training data are linearlyseparable?

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

What is the purpose of the Kernel Trick?

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0.

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

What are support vectors?

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

The effectiveness of an SVM depends upon:

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

What do you mean by a hard margin?

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

Impact of high variance on the training set ?

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

Which of the following can only be used when training data are linearlyseparable?

asked Jan 12, 2023 in Machine Learning by john ganales

+1 vote

In multiclass classification number of classes must be

asked Jan 12, 2023 in Machine Learning by john ganales

+4 votes

What characterize is hyperplance in geometrical model of machine learning?

asked Dec 6, 2022 in Machine Learning by sharadyadav1986

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