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Machine Learning Interview Questions and Answers
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Questions
Machine Learning
+1
vote
Q: 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
svm-kernel
+1
vote
Q: Suppose you have trained an SVM with linear decision boundary after training SVM,
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
machine-learning
+1
vote
Q: Which of the following can help to reduce overfitting in an SVM classifier?
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
svm-classifier
machine-learning
+1
vote
Q: How can SVM be classified?
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
svm-classification
+1
vote
Q: Which of the following are real world applications of the SVM?
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
svm-applications
machine-learning
+1
vote
Q: 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
bias-variance
machine-learning
+1
vote
Q: The kernel trick
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
kernel-trick
machine-learning
+1
vote
Q: The cost parameter in the SVM means:
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
svm
machine-learning
+1
vote
Q: 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
machine-leaning
logistic-regression
+1
vote
Q: The firing rate of a neuron
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
machine-learning
+1
vote
Q: Which of the following can only be used when training data are linearlyseparable?
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
linearlyseparable
machine-learning
+1
vote
Q: What is the purpose of the Kernel Trick?
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
kernel-trick
machine-leaning
+1
vote
Q: 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
machine-learning
+1
vote
Q: What are support vectors?
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
support-vectors
machine-learning
+1
vote
Q: The effectiveness of an SVM depends upon:
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
svm
+1
vote
Q: What do you mean by a hard margin?
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
hard-margin
machine-learning
+1
vote
Q: Impact of high variance on the training set ?
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
training-set
+1
vote
Q: Which of the following can only be used when training data are linearlyseparable?
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
linearlyseparable
+1
vote
Q: In multiclass classification number of classes must be
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
multiclass-classification
+4
votes
Q: What characterize is hyperplance in geometrical model of machine learning?
asked
Dec 6, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
+4
votes
Q: Supervised learning and unsupervised clustering both require which is correct according to the statement.
asked
Dec 6, 2022
in
Machine Learning
by
sharadyadav1986
supervised-learning
+4
votes
Q: Which of the following techniques would perform better for reducing dimensions of a data set?
asked
Dec 6, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
+4
votes
Q: PCA is in machine learning
asked
Dec 6, 2022
in
Machine Learning
by
sharadyadav1986
pca
+4
votes
Q: A feature F1 can take certain value: A, B, C, D, E, & F and represents grade of students from a college. Here feature type is
asked
Dec 6, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
+4
votes
Q: The output of training process in machine learning is
asked
Dec 6, 2022
in
Machine Learning
by
sharadyadav1986
machine-learnring
+4
votes
Q: Following is powerful distance metrics used by Geometric model
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
matrix
machine-learning
+3
votes
Q: Type of matrix decomposition model is
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
matrix-decomposition
+4
votes
Q: Following are the types of supervised learning
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
supervised-learning
+4
votes
Q: Which of the following is a good test dataset characteristic?
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
+5
votes
Q: You are given reviews of few netflix series marked as positive, negative and neutral. Classifying reviews of a new netflix series is an example of
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
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