55 interview questions on Machine Learning Algorithms for developers (2024)

Easy

7 votes735 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 votes643 runs1 comment

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

Data Scientist

data

machine learning

Anonymous authorat Apr 6, 2022

Easy

3 votes691 runs0 comment

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

Data Scientist

nlp

stemming

Anonymous authorat Apr 6, 2022

Hard

3 votes608 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

2 votes625 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

2 votes606 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 votes582 runs0 comment

What is the definition interval of the silhouette coefficient?

Data Scientist

machine learning

clustering

Anonymous authorat Apr 6, 2022

Easy

1 vote650 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

1 vote620 runs0 comment

What is the role of the Lemmatization method?

Data Scientist

text

contraction

Anonymous authorat Apr 6, 2022

Easy

1 vote619 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 vote584 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 vote581 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 vote331 runs0 comment

What can be said about the coefficient of determination R²?

Data Scientist

regression

r2

Anonymous authorat Apr 6, 2022

Medium

1 vote23 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

Easy

0 vote662 runs1 comment

What does the Soft Margin version of SVMs do?

Data Scientist

machine learning

svm

Anonymous authorat Apr 6, 2022

Easy

0 vote593 runs0 comment

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

Data Scientist

stopwords

Anonymous authorat Apr 6, 2022

Medium

0 vote592 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 vote591 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 vote577 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 vote203 runs0 comment

What is multiple linear regression?

Data Scientist

regression

linear

Anonymous authorat Apr 6, 2022

55 interview questions on Machine Learning Algorithmsfor developers (2024)

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

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

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

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

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

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

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

What is the definition interval of the silhouette coefficient?

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

What is the role of the Lemmatization method?

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

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 does the Soft Margin version of SVMs do?

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

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?

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

What is multiple linear regression?