95 interview questions for developers (2024)

Medium

9 votes766 runs0 comment

How to handle missing data in a given training data set ?

Data Scientist

machine learning

missing data

Martinat Apr 4, 2022

Medium

6 votes683 runs0 comment

How to handle missing data in a given training data set ?

Data Scientist

machine learning

missing data

Martinat Apr 4, 2022

Easy

5 votes718 runs0 comment

What is the missing word in the following sentence: Overfitting is the production of a model that corresponds too closely to the training data set and may therefore fail to fit other data sets and so fail to perform any reliable forecast.

Data Scientist

machine learning

overfitting

Martinat Mar 15, 2022

Easy

4 votes741 runs0 comment

The validation set is used to provide frequent and unbiased evaluations of the model’s fit on the training set while tuning its hyperparameters/parameters: in other words,the model is found and then tested on the validation set before to be improved once again.

Data Scientist

hyperparameters

model

Martinat Mar 15, 2022

Easy

4 votes647 runs0 comment

Clustering is an unsupervised machine learning process which aims at automatically discovering natural grouping in the input data. When using this method, the developer is able to choose the number of groups he wants to create.

Data Scientist

machine learning

unsupervised learning

Martinat Mar 15, 2022

Easy

4 votes593 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

Medium

3 votes671 runs0 comment

What are the differences/similarities between a loss function, an error function, and a cost function?

Data Scientist

loss function

error function

cost function

Martinat Mar 15, 2022

Easy

3 votes656 runs0 comment

In order to get good results when implementing deep learning, one needs to prepare his data before using it. What action should be done during this preparation?

Data Scientist

data

preprocessing

Martinat Mar 15, 2022

Easy

3 votes522 runs0 comment

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

Data Scientist

data

machine learning

Anonymous authorat Apr 6, 2022

Easy

3 votes455 runs0 comment

What is ensemble learning? It consists in …

Data Scientist

models

ensemble

Martinat Mar 15, 2022

Easy

2 votes715 runs0 comment

Given a data set, which elements will help you to choose what model / machine learning method to use to create an efficient model?

Data Scientist

data

model

Martinat Mar 15, 2022

Medium

2 votes649 runs0 comment

How to assess a clustering model performances?

Data Scientist

metrics

clustering

Martinat Mar 15, 2022

Easy

2 votes558 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

2 votes488 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

1 vote665 runs1 comment

Which of the following actions can be used during the date pre-processing when performing regression or classification?

Data Scientist

data

preprocessing

Martinat Dec 13, 2023

Expert

1 vote656 runs0 comment

How to define reinforcement learning? Select the sentence that defines best this learning method.

Data Scientist

reinforcement learning

machine learning

Martinat Apr 4, 2022

Easy

1 vote655 runs0 comment

What type(s) of learning can the following performance indicators be used?

Data Scientist

supervised learning

performance indicators

Martinat Mar 15, 2022

Easy

1 vote647 runs0 comment

How to define supervised learning? In supervised learning, the machine trains the model using a labeled training data set.

Data Scientist

supervised learning

machine learning

Martinat Mar 15, 2022

Easy

1 vote504 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

1 vote499 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

95 interview questionsfor developers (2024)

Test your developer skills before an interview with 95 corrected questions on 80+ topics. Beginner, Intermediate or Expert level.

How to handle missing data in a given training data set ?

How to handle missing data in a given training data set ?

What is the missing word in the following sentence: Overfitting is the production of a model that corresponds too closely to the training data set and may therefore fail to fit other data sets and so fail to perform any reliable forecast.

The validation set is used to provide frequent and unbiased evaluations of the model’s fit on the training set while tuning its hyperparameters/parameters: in other words,the model is found and then tested on the validation set before to be improved once again.

Clustering is an unsupervised machine learning process which aims at automatically discovering natural grouping in the input data. When using this method, the developer is able to choose the number of groups he wants to create.

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

What are the differences/similarities between a loss function, an error function, and a cost function?

In order to get good results when implementing deep learning, one needs to prepare his data before using it. What action should be done during this preparation?

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

What is ensemble learning? It consists in …

Given a data set, which elements will help you to choose what model / machine learning method to use to create an efficient model?

How to assess a clustering model performances?

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?

Which of the following actions can be used during the date pre-processing when performing regression or classification?

How to define reinforcement learning? Select the sentence that defines best this learning method.

What type(s) of learning can the following performance indicators be used?

How to define supervised learning? In supervised learning, the machine trains the model using a labeled training data set.

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

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