Machine Learning Intermediate Level Interview Questions Quiz (Multiple Choice)

By admin January 9, 2025 #Machine Learning Intermediate Level Interview Questions Quiz

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We have carefully curated some of the most frequently asked questions for intermediate level machine learning professionals. Test your knowledge by answering the Machine Learning Interview Questions Quiz (Intermediate Level). This is helpful for both developers and testers (QA professionals).

If you believe any of the answers are wrong or you have any suggestions to add more questions, please comment down below. Do not forget share this with your friends also to help them get more knowledge and practice on the interview questions.

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Machine Learning Intermediate Level Interview Questions Quiz

Test your knowledge by answering the Machine Learning Interview Questions Quiz (Intermediate Level)

1 / 20

Which of the following is a supervised learning algorithm?

K-Means

Decision Tree

DBSCAN

Apriori

2 / 20

What is the purpose of regularization in machine learning?

To reduce bias

To prevent overfitting

To increase variance

To increase the model complexity

3 / 20

Which of the following activation functions is commonly used in deep learning?

Sigmoid

ReLU

Softmax

All of the above

4 / 20

What does a confusion matrix measure in classification problems?

Accuracy only

Precision only

True positives, false positives, true negatives, false negatives

Loss

5 / 20

Which algorithm is typically used for dimensionality reduction?

PCA

Logistic Regression

Gradient Boosting

Random Forest

6 / 20

What is the purpose of cross-validation?

To reduce the training time

To estimate model performance

To increase model complexity

To normalize the data

7 / 20

What does the term 'epoch' mean in the context of training neural networks?

One forward pass only

One backward pass only

One complete pass through the training data

One iteration of gradient descent

8 / 20

Which machine learning metric is suitable for regression tasks?

Accuracy

F1 Score

Mean Squared Error

Precision

9 / 20

What does the term 'bagging' refer to in ensemble methods?

Boosting aggregation

Bootstrap aggregating

Bag of words aggregation

Bayesian aggregation

10 / 20

Which of the following algorithms is most suitable for imbalanced datasets?

K-Means

SMOTE

Linear Regression

Gradient Descent

11 / 20

Which of the following is NOT an example of unsupervised learning?

K-Means

Hierarchical Clustering

DBSCAN

Linear Regression

12 / 20

Which library is commonly used for implementing machine learning models in Python?

NumPy

Pandas

Matplotlib

Scikit-learn

13 / 20

What is the main purpose of gradient descent?

To find the local maxima

To optimize the loss function

To generate data

To preprocess data

14 / 20

What is the role of a kernel in SVM?

To normalize data

To perform dimensionality reduction

To transform data into a higher-dimensional space

To reduce overfitting

15 / 20

What is a common technique to deal with missing data in a dataset?

Removing missing values

Imputation

Replacing with zeros

All of the above

16 / 20

Which evaluation metric is used for binary classification problems?

R-squared

Precision-Recall

Root Mean Squared Error

Adjusted R-squared

17 / 20

Which of the following is a characteristic of overfitting?

High training accuracy, low test accuracy

High training accuracy, high test accuracy

Low training accuracy, low test accuracy

Low training accuracy, high test accuracy

18 / 20

What does the term 'overfitting' refer to in machine learning?

Model performs well on training data but poorly on test data

Model performs well on both training and test data

Model fails to perform well on training data

Model performs well only on test data

19 / 20

Which of the following methods is used to handle categorical data?

One-Hot Encoding

Standardization

Normalization

Gradient Descent

20 / 20

Which of the following is an example of reinforcement learning?

K-Means

Q-Learning

Linear Regression

Logistic Regression

Your score is

The average score is 50%

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One thought on “Machine Learning Intermediate Level Interview Questions Quiz (Multiple Choice)”

Raju says:

January 9, 2025 at 9:33 am

My score is 50%.
I will improve by reading the articles.

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Machine Learning Intermediate Level Interview Questions Quiz (Multiple Choice)

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