40 interview questions on Machine learning - Fundamentals for developers (2024)

Medium

13 votes996 runs0 comment

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

Data Scientist

machine learning

missing data

Martinat Apr 4, 2022

Medium

8 votes897 runs0 comment

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

Data Scientist

machine learning

missing data

Martinat Apr 4, 2022

Easy

6 votes969 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

6 votes927 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 votes838 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

3 votes936 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

3 votes881 runs

1 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 votes877 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 votes850 runs0 comment

How to assess a clustering model performances?

Data Scientist

metrics

clustering

Martinat Mar 15, 2022

Easy

3 votes595 runs0 comment

What is ensemble learning? It consists in …

Data Scientist

models

ensemble

Martinat Mar 15, 2022

Hard

2 votes868 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

2 votes839 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 vote875 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

Easy

1 vote854 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 vote301 runs0 comment

Cross validation is a technique used for evaluating ML or DL (deep learning) models. The method consists in training several models on subsets of the input data and evaluating them on the complementary subset of this same data. It aims at avoiding overfitting.

Data Scientist

overfitting

validation

Martinat Mar 15, 2022

Medium

1 vote260 runs0 comment

Which of the following statements are true when considering boosting?

Data Scientist

ensemble

models

Martinat Mar 15, 2022

Medium

1 vote250 runs0 comment

Select the true statements about PCA.

Data Scientist

machine learning

dimension reduction

unsupervised learning

Martinat Mar 15, 2022

Easy

1 vote68 runs0 comment

Which code language is the most used to implement machine learning?

Data Scientist

python

machine learning

Martinat Mar 15, 2022

Easy

0 vote876 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

Medium

0 vote870 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

40 interview questions on Machine learning - Fundamentalsfor developers (2024)

Test your technical skills before an interview of Machine learning - Fundamentals with 40 corrected questions. 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 ?

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.

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.

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.

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

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?

How to assess a clustering model performances?

What is ensemble learning? It consists in …

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

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

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

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

Cross validation is a technique used for evaluating ML or DL (deep learning) models. The method consists in training several models on subsets of the input data and evaluating them on the complementary subset of this same data. It aims at avoiding overfitting.

Which of the following statements are true when considering boosting?

Select the true statements about PCA.

Which code language is the most used to implement machine learning?

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

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