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40 interview questions on Machine learning - Fundamentalsfor developers (2026)

Test your technical skills before an interview of Machine learning - Fundamentals with 40 corrected questions. Beginner, Intermediate or Expert level.

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Medium
21 votes1618 runs0 comment

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

Data Scientist
machine learning
missing data
Martinat Apr 4, 2022
Medium
12 votes1570 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
Medium
12 votes1465 runs0 comment

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

Data Scientist
machine learning
missing data
Martinat Apr 4, 2022
Hard
8 votes1439 runs
2 comments

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
7 votes1485 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
7 votes1345 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
7 votes978 runs0 comment

What is ensemble learning? It consists in …

Data Scientist
models
ensemble
Martinat Mar 15, 2022
Medium
6 votes1367 runs0 comment

How to assess a clustering model performances?

Data Scientist
metrics
clustering
Martinat Mar 15, 2022
Easy
5 votes1500 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
Hard
5 votes1408 runs0 comment

Which of the following statements are true when considering stacking?

Data Scientist
ensemble
machine learning
Martinat Mar 15, 2022
Easy
5 votes1399 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
5 votes1340 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
Medium
4 votes1416 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
Medium
4 votes1414 runs0 comment

Which of the following statements is true when considering machine learning?

Data Scientist
machine learning
artificial intelligence
computer science
Martinat Mar 15, 2022
Easy
3 votes1420 runs0 comment

What is the relation between Artificial intelligence (AI), machine learning and deep learning?

Data Scientist
machine learning
deep learning
artificial intelligence
Martinat Mar 15, 2022
Hard
3 votes1416 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
Medium
3 votes404 runs0 comment

Select the true statements about PCA.

Data Scientist
machine learning
dimension reduction
unsupervised learning
Martinat Mar 15, 2022
Easy
2 votes1388 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
2 votes1344 runs0 comment

How to define unsupervised learning? In unsupervised learning, the machine trains the model using an unlabeled training data set.

Data Scientist
machine learning
unsupervised learning
Martinat Mar 15, 2022
Easy
2 votes441 runs0 comment

Which of the following methods is a supervised learning machine learning method?

Data Scientist
supervised learning
machine learning
Martinat Mar 15, 2022