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Machine Learning Interview Questions and Answers
Home
Questions
Machine Learning
0
votes
Q: How is machine learning used in day-to-day life?
answered
May 9
in
Machine Learning
by
sharadyadav1986
machine-learning
0
votes
Q: Do you think that treating a categorical variable as a continuous variable would result in a better predictive model?
answered
May 9
in
Machine Learning
by
sharadyadav1986
categorical-variables
0
votes
Q: Why do we need to convert categorical variables into factor? Which functions are used to perform the conversion?
answered
May 9
in
Machine Learning
by
sharadyadav1986
categorical-variables
0
votes
Q: What is Regularization? What kind of problems does regularization solve?
answered
May 9
in
Machine Learning
by
sharadyadav1986
regularization
0
votes
Q: When does regularization become necessary in Machine Learning?
answered
May 9
in
Machine Learning
by
sharadyadav1986
regularization
0
votes
Q: What do you understand by Underfitting?
answered
May 9
in
Machine Learning
by
sharadyadav1986
underfitting
0
votes
Q: How is a decision tree pruned?
answered
May 9
in
Machine Learning
by
sharadyadav1986
decision-tree-pruned
Machine-Learning-questions-answers
0
votes
Q: What’s the F1 score? How would you use it?
answered
May 9
in
Machine Learning
by
sharadyadav1986
f1-score
Machine-Learning-questions-answers
0
votes
Q: Why instance-based learning algorithm sometimes referred to as Lazy learning algorithm?
answered
May 9
in
Machine Learning
by
sharadyadav1986
instance-based-learning
0
votes
Q: Which are the two components of Bayesian logic program?
answered
May 9
in
Machine Learning
by
sharadyadav1986
bayesian-logic-program
0
votes
Q: What do you understand by Cluster Sampling?
answered
May 8
in
Machine Learning
by
sharadyadav1986
cluster-sampling
0
votes
Q: What are the similarities and differences between bagging and boosting in Machine Learning?
answered
May 8
in
Machine Learning
by
sharadyadav1986
bagging
boosting
0
votes
Q: What is Bagging and Boosting?
answered
May 8
in
Machine Learning
by
sharadyadav1986
bagging
boosting
0
votes
Q: Which is more important to you: model accuracy or model performance?
answered
May 8
in
Machine Learning
by
sharadyadav1986
model-accuracy
model-performance
Machine-Learning-questions-answers
0
votes
Q: Explain True Positive, True Negative, False Positive, and False Negative in Confusion Matrix with an example.
answered
May 8
in
Machine Learning
by
sharadyadav1986
confusion-matrix
0
votes
Q: What do you understand by the Confusion Matrix?
answered
May 8
in
Machine Learning
by
sharadyadav1986
confusion-matrix
0
votes
Q: How will you explain a linked list and an array?
answered
May 8
in
Machine Learning
by
sharadyadav1986
linked-list
0
votes
Q: What is SVM in machine learning? What are the classification methods that SVM can handle?
answered
May 8
in
Machine Learning
by
sharadyadav1986
svm
machine-learning
0
votes
Q: What do you understand by genetic programming?
answered
May 8
in
Machine Learning
by
sharadyadav1986
#genetic-programming
Machine-Learning-questions-answers
0
votes
Q: What do you understand by the classifier in machine learning?
answered
May 8
in
Machine Learning
by
sharadyadav1986
#classifier-learning
Machine-Learning-questions-answers
0
votes
Q: What do you understand by machine learning which is independent of algorithms?
answered
May 8
in
Machine Learning
by
sharadyadav1986
#independent-algo
Machine-Learning-questions-answers
0
votes
Q: What are the functions of Unsupervised Learning?
answered
May 8
in
Machine Learning
by
sharadyadav1986
unsupervised-learning
0
votes
Q: What are the functions of Supervised Learning?
answered
May 8
in
Machine Learning
by
sharadyadav1986
supervised-learning
0
votes
Q: What do you understand by Decision Tree in Machine Learning?
answered
May 8
in
Machine Learning
by
sharadyadav1986
decision-tree
0
votes
Q: What are the necessary steps involved in Machine Learning Project?
answered
May 8
in
Machine Learning
by
sharadyadav1986
machine-learning
0
votes
Q: What do you understand by ILP?
answered
May 8
in
Machine Learning
by
sharadyadav1986
ilp
0
votes
Q: What are the common ways to handle missing data in a dataset?
answered
May 8
in
Machine Learning
by
sharadyadav1986
missing-dataset
0
votes
Q: Describe 'Training set' and 'training Test'.
answered
May 8
in
Machine Learning
by
sharadyadav1986
training-set
training-test
0
votes
Q: What according to you, is the standard approach to supervised learning?
answered
May 8
in
Machine Learning
by
sharadyadav1986
supervised-learning
0
votes
Q: What is a model selection in Machine Learning?
answered
May 8
in
Machine Learning
by
sharadyadav1986
model-selection
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