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Recent questions tagged machine-learning
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machine-learning
0
votes
What is the name of the function that takes the input and maps it to the output variable called?
asked
Feb 20
in
MFDM AI - The Renaissance
by
rajeshsharma
machine-learning
+2
votes
Which of the following option is used for machine learning on Hadoop?
asked
Jan 13, 2023
in
Hadoop
by
john ganales
hadoop
machine-learning
+1
vote
We usually use feature normalization before using the Gaussian kernel in SVM.
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
normalization
machine-learning
+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
variance
machine-learning
+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
machine-learning
+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
svm-classifier
machine-learning
+1
vote
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
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
The kernel trick
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
kernel-trick
machine-learning
+1
vote
The cost parameter in the SVM means:
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
svm
machine-learning
+1
vote
The firing rate of a neuron
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
machine-learning
+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
linearlyseparable
machine-learning
+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
machine-learning
+1
vote
What are support vectors?
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
support-vectors
machine-learning
+1
vote
What do you mean by a hard margin?
asked
Jan 12, 2023
in
Machine Learning
by
john ganales
hard-margin
machine-learning
0
votes
Differentiate between Deep Learning and Machine Learning.
asked
Dec 13, 2022
in
Deep Learning
by
Robindeniel
deep-learning
machine-learning
+4
votes
What characterize is hyperplance in geometrical model of machine learning?
asked
Dec 6, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
+4
votes
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
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
Following is powerful distance metrics used by Geometric model
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
matrix
machine-learning
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