Week 1: AI & Big Data Quiz

Which of these is not part of the definition of Artificial Intelligence?

• Systems that think like humans

• Systems that work without any data

• Systems that act like humans

• Systems that act rationally

Answer explanation

The correct choice is 'Systems that work without any data' because AI systems require data to learn and make decisions, they cannot function without any data.

What is the main focus of Machine Learning?

• Creating systems that can think and act like humans

• Creating systems that can learn from data and improve with experience

• Automating activities associated with human thinking

• Designing intelligent agents

Answer explanation

The main focus of Machine Learning is creating systems that can learn from data and improve with experience.

Which type of Machine Learning involves training on labelled data?

• Reinforcement Learning

• Semi Supervised Learning

• Unsupervised Learning

• Supervised Learning

Answer explanation

Supervised Learning involves training on labelled data where the model learns from input-output pairs, making it the correct choice in this case.

What is the difference between supervised and unsupervised learning?

• Supervised learning is used in robotics, while unsupervised learning is used in gaming

• Supervised learning focuses on reinforcement, while unsupervised learning focuses on clustering

• Supervised learning requires labelled data, while unsupervised learning does not

• Supervised learning involves training on unlabelled data, while unsupervised learning does not

Answer explanation

Supervised learning requires labelled data, while unsupervised learning does not

What is the main advantage of using Python for AI programming?

• Dynamic neural network architectures

• Data manipulation

• High Readability

• Comprehensive set of machine learning algorithms

Answer explanation

The main advantage of using Python for AI programming is its high readability, making it easier for developers to understand and maintain code, which is crucial in AI projects.

What is the main focus of Reinforcement Learning?

• Learning from data and improving with experience

• Training on labelled data

• Finding patterns in unlabelled data

• Interacting with an environment and receiving rewards or penalties

Answer explanation

The main focus of Reinforcement Learning is interacting with an environment and receiving rewards or penalties.

What is the main focus of Unsupervised Learning?

• Training on labelled data

• Learning by interacting with an environment

• Finding patterns in unlabelled data

• Creating systems that can think and act like humans

Answer explanation

The main focus of Unsupervised Learning is finding patterns in unlabelled data.

What is the goal of supervised learning?

• To learn mapping between input and output data

• To find hidden patterns in data

• To reduce the complexity of high-dimensional data

• To group similar data points together

Answer explanation

The goal of supervised learning is to learn the mapping between input and output data, making it the correct choice among the options provided.

Which type of supervised learning predicts continuous, real-value quantities?

• Association Rules

• Classification

• Regression

• Clustering

Answer explanation

Regression is the type of supervised learning that predicts continuous, real-value quantities.

What is a weakness of K-Nearest Neighbour (KNN)?

• Requires the number of clusters to be specified in advance

• No assumptions about data distribution

• Sensitive to outliers

• Efficient to train and computationally lightweight

Answer explanation

K-Nearest Neighbour (KNN) is sensitive to outliers, making it a weakness as it can significantly impact the model's performance.