56 interview questions on Machine Learning Algorithms for developers (2026)

Easy

13 votes1058 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

5 votes1000 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

5 votes954 runs1 comment

What does the Soft Margin version of SVMs do?

Data Scientist

machine learning

svm

Anonymous authorat Apr 6, 2022

Easy

5 votes921 runs1 comment

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

Data Scientist

data

machine learning

Anonymous authorat Apr 6, 2022

Easy

4 votes903 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

Hard

4 votes886 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 votes928 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

Medium

3 votes874 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 votes840 runs0 comment

What is the definition interval of the silhouette coefficient?

Data Scientist

machine learning

clustering

Anonymous authorat Apr 6, 2022

Easy

1 vote896 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

Easy

1 vote896 runs0 comment

What is the role of the Lemmatization method?

Data Scientist

text

contraction

Anonymous authorat Apr 6, 2022

Easy

1 vote836 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 vote817 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 vote482 runs0 comment

What can be said about the coefficient of determination R²?

Data Scientist

regression

r2

Anonymous authorat Apr 6, 2022

Medium

1 vote41 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 vote854 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

Medium

0 vote850 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 vote847 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 vote823 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

Medium

0 vote345 runs1 comment

PCA makes it possible to distribute the maximum of the initial inertia on the first axis of the new space.

Data Scientist

machine learning

pca

Pierre Chaumontat Aug 23, 2024

56 interview questions on Machine Learning Algorithmsfor developers (2026)

Test your technical skills before an interview of Machine Learning Algorithms with 56 corrected questions. Beginner, Intermediate or Expert level.

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

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

What does the Soft Margin version of SVMs do?

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

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

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

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

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

What is the definition interval of the silhouette coefficient?

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

What is the role of the Lemmatization method?

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

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

What can be said about the coefficient of determination R²?

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?

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

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

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

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

PCA makes it possible to distribute the maximum of the initial inertia on the first axis of the new space.