1. What is Machine learning?
a) The selective acquisition of knowledge through the use of computer programs
b) The selective acquisition of knowledge through the use of manual programs
c) The autonomous acquisition of knowledge through the use of computer programs
d) The autonomous acquisition of knowledge through the use of manual programs

Correct Answer – C

2. K-Nearest Neighbors (KNN) is classified as what type of machine learning algorithm?
a) Instance-based learning
b) Parametric learning
c) Non-parametric learning
d) Model-based learning

Correct Answer – A

3. Which of the following is not a supervised machine learning algorithm?
a) K-means
b) Naïve Bayes
c) SVM for classification problems
d) Decision tree

Correct Answer – A

4. What’s the key benefit of using deep learning for tasks like recognizing images?
a) They need less training data than other methods.
b) They’re easier to explain and understand than other models.
c) They can learn complex details from the data on their own.
d) They work faster and are more efficient computationally.

Correct Answer – C

5. Which algorithm is best suited for a binary classification problem?
a) K-nearest Neighbors
b) Decision Trees
c) Random Forest
d) Linear Regression

Correct Answer – B

6. What is the key difference between supervised and unsupervised learning?
a) Supervised learning requires labeled data, while unsupervised learning does not.
b) Supervised learning predicts labels, while unsupervised learning discovers patterns.
c) Supervised learning is used for classification, while unsupervised learning is used for regression.
d) Supervised learning is always more accurate than unsupervised learning.

Correct Answer – A

7. Which type of machine learning algorithm falls under the category of “unsupervised learning”?
a) Linear Regression
b) K-means Clustering
c) Decision Trees
d) Random Forest

Correct Answer – B

8. Which of the following statements is true about AdaBoost?
a) It is particularly prone to overfitting on noisy datasets
b) Complexity of the weak learner is important in AdaBoost
c) It is generally more prone to overfitting
d) It improves classification accuracy

Correct Answer – C

9. Which one of the following models is a generative model used in machine learning?
a) Support vector machines
b) Naïve Bayes
c) Logistic Regression
d) Linear Regression

Correct Answer – B

10. An artificially intelligent car decreases its speed based on its distance from the car in front of it. Which algorithm is used?
a) Naïve-Bayes
b) Decision Tree
c) Linear Regression
d) Logistic Regression

Correct Answer – C