What are the two types of Unsupervised Learning? Choose two.

• Regression

• Clustering

• Association

• Classification

What are the two types of Supervised Learning? Choose two.

• Classification

• Declassification

• Progression

• Regression

What are the three types of Machine Learning? Choose three.

• Supervised Learning

• Differentiated Learning

• Unsupervised Learning

• Reinforcement Learning

• Technical Learning

What is Machine learning?

• The selective acquisition of knowledge through the use of computer programs

• The selective acquisition of knowledge through the use of manual programs

• The autonomous acquisition of knowledge through the use of computer programs

• The autonomous acquisition of knowledge through the use of manual programs

Which of the following is not a supervised machine learning algorithm?

• K-means

• Naïve Bayes

• SVM for classification problems

• Decision tree

Which algorithm is best suited for a binary classification problem?

• K-nearest Neighbors

• Decision Trees

• Random Forest

• Linear Regression

What is the key difference between supervised and unsupervised learning?

• Supervised learning requires labeled data, while unsupervised learning does not.

• Supervised learning predicts labels, while unsupervised learning discovers patterns.

• Supervised learning is used for classification, while unsupervised learning is used for regression.

• Supervised learning is always more accurate than unsupervised learning.

An AI-based car automatically slows down as it gets closer to the car in front. Which algorithm is responsible for this behavior?

• Naïve-Bayes

• Decision Tree

• Linear Regression

• Logistic Regression

In the context of Industry 4.0, what is a key role of Machine Learning in manufacturing?

• Designing new mechanical parts

• Predicting equipment failure before it happens

• Operating CNC machines manually

• Reducing workforce requirement

Which Machine Learning task is most relevant to identifying defective parts on a production line using image data?

• Clustering

• Classification

• Regression

• Reinforcement