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Questions by john ganales
+1
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1
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Which of the following command is used to check the status of all daemons running in the HDFS?
asked
Jan 13, 2023
in
Hadoop
hadoop
deamon
+1
vote
1
answer
Which of the following is the default size of distributed cache?
asked
Jan 13, 2023
in
Hadoop
distributed-cache
+1
vote
1
answer
Which of the configuration file is used to control the HDFS replication factor?
asked
Jan 13, 2023
in
Hadoop
hadoop-files
0
votes
1
answer
Which of the following is the advantages of 3x replication schema in Hadoop?
asked
Jan 13, 2023
in
Hadoop
hadoop-replication
0
votes
1
answer
What is the most popular high-level Java API in Hadoop Ecosystem?
asked
Jan 13, 2023
in
Hadoop
hadoop-ecosystem
0
votes
1
answer
Pick out the correct statement.
asked
Jan 13, 2023
in
Hadoop
hadoop
0
votes
1
answer
Hadoop was written in
asked
Jan 13, 2023
in
Hadoop
hadoop
+1
vote
1
answer
Which of the following methods can not achieve zero training error on any linearly separable dataset?
asked
Jan 12, 2023
in
Machine Learning
separable-dataset
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vote
1
answer
Wrapper methods are hyper-parameter selection methods that
asked
Jan 12, 2023
in
Machine Learning
machine-learining
+1
vote
1
answer
We usually use feature normalization before using the Gaussian kernel in SVM.
asked
Jan 12, 2023
in
Machine Learning
normalization
machine-learning
+1
vote
1
answer
Suppose you are using RBF kernel in SVM with high Gamma value. What does this signify?
asked
Jan 12, 2023
in
Machine Learning
rbf-kernel
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vote
1
answer
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
variance
machine-learning
+1
vote
1
answer
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
binary-classifier
+1
vote
1
answer
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
svm-kernel
+1
vote
1
answer
Suppose you have trained an SVM with linear decision boundary after training SVM,
asked
Jan 12, 2023
in
Machine Learning
machine-learning
+1
vote
1
answer
Which of the following can help to reduce overfitting in an SVM classifier?
asked
Jan 12, 2023
in
Machine Learning
svm-classifier
machine-learning
+1
vote
1
answer
How can SVM be classified?
asked
Jan 12, 2023
in
Machine Learning
svm-classification
+1
vote
1
answer
Which of the following are real world applications of the SVM?
asked
Jan 12, 2023
in
Machine Learning
svm-applications
machine-learning
+1
vote
1
answer
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
bias-variance
machine-learning
+1
vote
1
answer
The kernel trick
asked
Jan 12, 2023
in
Machine Learning
kernel-trick
machine-learning
+1
vote
1
answer
The cost parameter in the SVM means:
asked
Jan 12, 2023
in
Machine Learning
svm
machine-learning
+1
vote
1
answer
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
machine-leaning
logistic-regression
+1
vote
1
answer
The firing rate of a neuron
asked
Jan 12, 2023
in
Machine Learning
machine-learning
+1
vote
1
answer
Which of the following can only be used when training data are linearlyseparable?
asked
Jan 12, 2023
in
Machine Learning
linearlyseparable
machine-learning
+1
vote
1
answer
What is the purpose of the Kernel Trick?
asked
Jan 12, 2023
in
Machine Learning
kernel-trick
machine-leaning
+1
vote
1
answer
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
machine-learning
+1
vote
1
answer
What are support vectors?
asked
Jan 12, 2023
in
Machine Learning
support-vectors
machine-learning
+1
vote
1
answer
The effectiveness of an SVM depends upon:
asked
Jan 12, 2023
in
Machine Learning
svm
+1
vote
1
answer
What do you mean by a hard margin?
asked
Jan 12, 2023
in
Machine Learning
hard-margin
machine-learning
+1
vote
1
answer
Impact of high variance on the training set ?
asked
Jan 12, 2023
in
Machine Learning
training-set
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