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55 interview questions on Machine Learning Algorithmsfor developers (2025)

Test your technical skills before an interview of Machine Learning Algorithms with 55 corrected questions. Beginner, Intermediate or Expert level.

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55 questions
Easy
10 votes889 runs0 comment

How is the error calculated during back propagation in a neural network?

Data Scientist
neural network
back propagation
Anonymous authorat Apr 6, 2022
Easy
4 votes837 runs0 comment

In the context of NLP, what is the role of the Stemming method?

Data Scientist
nlp
stemming
Anonymous authorat Apr 6, 2022
Easy
4 votes771 runs1 comment

What type of data is PCA (principal component analysis) applied to?

Data Scientist
data
machine learning
Anonymous authorat Apr 6, 2022
Hard
4 votes733 runs0 comment

How are the layers of an MLP type neural network connected to each other?

Data Scientist
neural networks
linear
Anonymous authorat Apr 6, 2022
Easy
3 votes778 runs0 comment

In an MLP(multilayer perceptron), the output layer necessarily has a single neuron.

Data Scientist
neural networks
multilayer perceptron
Anonymous authorat Apr 6, 2022
Easy
3 votes752 runs0 comment

SVMs seek to find a hyperplane that maximizes the width of the separating band between data of different classes.

Data Scientist
machine learning
svm
Anonymous authorat Apr 6, 2022
Easy
2 votes799 runs1 comment

What does the Soft Margin version of SVMs do?

Data Scientist
machine learning
svm
Anonymous authorat Apr 6, 2022
Medium
2 votes727 runs0 comment

What is the role of assembly function in an artificial neuron?

Data Scientist
neural network
activation function
Anonymous authorat Apr 6, 2022
Medium
2 votes695 runs0 comment

What is the definition interval of the silhouette coefficient?

Data Scientist
machine learning
clustering
Anonymous authorat Apr 6, 2022
Easy
1 vote745 runs0 comment

Explain the meaning of the score of an individual on a PCA principal component.

Data Scientist
pca
machine learning
Anonymous authorat Apr 6, 2022
Medium
1 vote744 runs0 comment

What is the role of the Lemmatization method?

Data Scientist
text
contraction
Anonymous authorat Apr 6, 2022
Easy
1 vote692 runs1 comment

What consideration must be observed in order to justify a linear regression?

Data Scientist
linear regression
correlation
Anonymous authorat Nov 20, 2023
Easy
1 vote689 runs0 comment

What is the domain of definition of the values returned by a logistic regression?

Data Scientist
regression
logistic regression
Anonymous authorat Apr 6, 2022
Easy
1 vote401 runs0 comment

What can be said about the coefficient of determination R²?

Data Scientist
regression
r2
Anonymous authorat Apr 6, 2022
Medium
1 vote35 runs0 comment

During predictions with a logistic regression model, can we use without problem a value of the decision threshold other than the value 0.5 which is used during the training phase?

Data Scientist
logistic regression
threshold
Anonymous authorat Apr 6, 2022
Medium
0 vote709 runs1 comment

What is the condition that guarantees that a symmetric function `K: X* X →R` is a kernel function?

Data Scientist
kernel
matrix
Anonymous authorat Apr 6, 2022
Easy
0 vote706 runs0 comment

In the context of NLP, what is the main interest of the TF-IDF method?

Data Scientist
nlp
classification
Anonymous authorat Apr 6, 2022
Easy
0 vote703 runs0 comment

Stopwords are not always the same character strings regardless of the language used.

Data Scientist
stopwords
Anonymous authorat Apr 6, 2022
Easy
0 vote684 runs0 comment

With polynomial modeling, the greater the degree of the polynomials, the greater the risk of falling into the trap of overfitting.

Data Scientist
overfitting
polynomial
Anonymous authorat Feb 14, 2023
Easy
0 vote247 runs0 comment

What is multiple linear regression?

Data Scientist
regression
linear
Anonymous authorat Apr 6, 2022