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Machine Learning Interview Questions and Answers
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Questions
Machine Learning
0
votes
Q: What is data augmentation? Can you give some examples?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
data-augmentation
0
votes
Q: Can you explain the differences between supervised, unsupervised, and reinforcement learning?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
reinforcementlearning
0
votes
Q: What is an imbalanced dataset? Can you list some ways to deal with it?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
imbalanced-dataset
0
votes
Q: Why do ensembles typically have higher scores than individual models?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
ensemblesmodels
0
votes
Q: What is stratified cross-validation and when should we use it?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
cross-validation
0
votes
Q: Why do we need a validation set and test set? What is the difference between them?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
data-validation
0
votes
Q: Why would you use many small convolutional kernels such as 3x3 rather than a few large ones?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
convolutionalkernels
0
votes
Q: What is batch normalization and why does it work?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
batchnormalization
0
votes
Q: What is the significance of Residual Networks?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
residualnetworks
0
votes
Q: Why do segmentation CNNs typically have an encoder-decoder style / structure?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
cnn-encoder-decoder
0
votes
Q: Why do we have max-pooling in classification CNNs?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
cnn-classification
0
votes
Q: What makes CNNs translation invariant?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
cnnstranslation-invariant
0
votes
Q: Why do we use convolutions for images rather than just FC layers?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
convolutions
machinelearning
0
votes
Q: How to Reverse a bitstring.
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
reverseabitstring
+1
vote
Q: How does image registration work? Sparse vs. dense optical flow and so on.
asked
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
imageregistrationwork
0
votes
Q: How does CBIR work?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
cbir
0
votes
Q: How would you remove outliers when trying to estimate a flat plane from noisy samples?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
machinelearning
0
votes
Q: Given stride S and kernel sizes for each layer of a (1-dimensional) CNN, create a function to compute the receptive field of a particular node in the network.
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
cnn
machinelearning
0
votes
Q: Why is ReLU better and more often used than Sigmoid in Neural Networks?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
sigmoid
neuralnetworks
0
votes
Q: What is regularization, why do we use it, and give some examples of common methods?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
what
is
regularization
why
do
we
use
it
and
give
some
examples
of
common
methods
0
votes
Q: How do you combat the curse of dimensionality?
answered
Jun 10, 2023
in
Machine Learning
by
sharadyadav1986
curseofdimensionality
0
votes
Q: Which method is frequently used to prevent overfitting?
answered
Mar 16, 2023
in
Machine Learning
by
SakshiSharma
overfitting
machine
learning
+1
vote
Q: What are the two methods used for the calibration in Supervised Learning?
answered
Mar 16, 2023
in
Machine Learning
by
SakshiSharma
supervised
learning
0
votes
Q: What is a model selection in Machine Learning?
answered
Mar 16, 2023
in
Machine Learning
by
SakshiSharma
model-selection
0
votes
Q: What is Inductive Logic Programming in Machine Learning?
answered
Mar 16, 2023
in
Machine Learning
by
SakshiSharma
logic
programming
machine
learning
0
votes
Q: In what areas Pattern Recognition is used?
answered
Mar 16, 2023
in
Machine Learning
by
SakshiSharma
pattern
recognition
0
votes
Q: What are the advantages of Naive Bayes?
answered
Mar 16, 2023
in
Machine Learning
by
SakshiSharma
naive
bayes
0
votes
Q: What is classifier in machine learning?
answered
Mar 16, 2023
in
Machine Learning
by
SakshiSharma
machine
learning
0
votes
Q: What is the difference between artificial learning and machine learning?
answered
Mar 16, 2023
in
Machine Learning
by
SakshiSharma
machine
learning
artificial
0
votes
Q: What is algorithm independent machine learning?
answered
Mar 16, 2023
in
Machine Learning
by
SakshiSharma
algorithm
independent
machine
learning
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