Machine Learning Quiz

What is the main objective of machine learning?

• To teach machines how to solve problems

• To create complex algorithms

• To study human behavior

• To develop hardware systems

How are learning problems categorized in machine learning?

• Basic and advanced learning

• Offline and online learning

• Theoretical and practical learning

• Supervised and unsupervised learning

What is the term used to describe teaching a machine with labeled data?

• Deep learning

• Unsupervised learning

• Reinforcement learning

• Supervised learning

Which algorithm is used in unsupervised learning to group data into clusters?

• Classification

• Regression

• Association rule learning

• Clustering

What is the purpose of classification algorithms in supervised learning?

• Group data into clusters

• Categorize data into predefined groups

• Predict future values based on past data

• Find trends in data points

What is the main difference between supervised and unsupervised learning?

• Unsupervised learning is only used for text data, while supervised learning is used for numerical data

• Unsupervised learning requires human intervention, while Supervised learning does not

• Unsupervised learning is more complex than supervised learning

• Supervised learning uses labeled data, while unsupervised learning uses unlabeled data

What is the structure of an Artificial Neural Network (ANN) based on?

• Sequential processing layers

• Isolated processing units

• Highly interconnected processing neurons

• Randomly connected processing elements

What is the role of neurons in the input layer of an ANN?

• Send signals to the next layer

• Perform computations

• Obtain the final result

• Receive the input data

How are artificial neural networks (ANNs) similar to the human brain?

• The human brain does not have neurons

• The human brain uses digital signals, while ANNs use analog signals

• ANNs have more neurons than the human brain

• Both consist of interconnected neurons

What is the last layer of an ANN called?

• Input layer

• Processing layer

• Hidden layer

• Output layer