Machine Learning Intermediate Level Interview Questions Quiz (Multiple Choice)

Mr. AI January 9, 2025

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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.

Comment your score below once you are done with testing yourself.

Machine Learning Intermediate Level Interview Questions Quiz

1 / 15

What is the primary goal of unsupervised learning?

To classify labeled data

To make predictions

To find hidden patterns

To minimize errors

2 / 15

Which algorithm is used for dimensionality reduction?

K-Means

PCA

Decision Trees

Random Forest

3 / 15

What does the term 'overfitting' refer to?

Model performs well on training data but poorly on new data

Model is too simple

Model generalizes well

Model has too few parameters

4 / 15

Which evaluation metric is commonly used for classification models?

Mean Squared Error

R-Squared

Accuracy

Silhouette Score

5 / 15

What is a hyperparameter in machine learning?

A parameter learned from data

A parameter set before training

A random variable

A constant value

6 / 15

Which technique is used to handle imbalanced datasets?

Cross-validation

Feature scaling

Oversampling

Gradient Descent

7 / 15

What is the purpose of a confusion matrix?

To store training data

To visualize classification performance

To optimize models

To reduce overfitting

8 / 15

Which method is commonly used for feature selection?

Random Sampling

Principal Component Analysis

Bagging

Dropout

9 / 15

What is the main advantage of ensemble learning?

Increases variance

Reduces bias

Improves model interpretability

Decreases dataset size

10 / 15

Which type of learning is used in reinforcement learning?

Supervised Learning

Unsupervised Learning

Trial and Error

Transfer Learning

11 / 15

What is a common technique to prevent overfitting?

Adding more features

Using dropout

Increasing model complexity

Using fewer training examples

12 / 15

Which algorithm is best suited for text classification tasks?

Linear Regression

Naive Bayes

K-Means Clustering

K-Nearest Neighbors

13 / 15

What is the role of an activation function in a neural network?

Controls weight updates

Introduces non-linearity

Reduces model complexity

Performs feature scaling

14 / 15

Which method is used for hyperparameter tuning?

Cross-Entropy Loss

Grid Search

Gradient Boosting

Random Sampling

15 / 15

Which type of neural network is used for sequence prediction?

Convolutional Neural Network

Recurrent Neural Network

Feedforward Neural Network

Decision Tree

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Last updated on January 9, 2025

Mr. AI

My name is Ram. I am a Data Scientist and Machine Learning expert with good knowledge in Generative AI. Working for a top MNC in New York city. I am writing this blog to share my knowledge with enthusiastic learners like you.

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1 Comment

Raju

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January 9, 2025, 9:33 am

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

Machine Learning Intermediate Level Interview Questions Quiz (Multiple Choice)

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