What is the primary purpose of an algorithm?

• To create complex mathematical models.

• To store data in a database.

• To generate random numbers for simulations.

• To provide a clear and efficient method for solving a problem or completing a task.

Explain the difference between supervised and unsupervised learning.

• Supervised learning uses labeled data for training, while unsupervised learning uses unlabeled data to find patterns.

• Supervised learning is faster than unsupervised learning.

• Unsupervised learning requires more data than supervised learning.

• Supervised learning is only used for classification tasks.

What programming language is commonly used for AI development?

• Ruby

• Java

• C++

• Python

Define the term 'machine learning'.

• Machine learning is a form of traditional programming.

• Machine learning is a type of hardware.

• Machine learning is a method of data analysis that automates analytical model building.

• Machine learning is a method for manual data entry.

What is the role of data in artificial intelligence?

• Data is the foundation for training AI models, enabling them to learn patterns and make predictions.

• AI can function without any data input.

• Data has no impact on AI performance.

• Data is only used for storage in AI systems.

Describe a common use case for neural networks.

• Speech recognition

• Image recognition

• Natural language processing

• Time series forecasting

What is the significance of Big O notation in programming?

• Big O notation is used to define the syntax of programming languages.

• Big O notation signifies the efficiency and scalability of algorithms in programming.

• Big O notation measures the popularity of programming languages.

• Big O notation indicates the number of lines in a program.

How does a decision tree work in machine learning?

• A decision tree clusters data points into groups without any splits.

• A decision tree uses a linear regression model to predict outcomes.

• A decision tree splits data into subsets based on feature values, creating a tree structure for decision-making.

• A decision tree relies solely on random sampling of data for predictions.

What are the ethical considerations in AI development?

• User engagement

• Data collection

• Fairness, transparency, privacy, accountability, safety, societal impact.

• Profit maximization

Explain the concept of natural language processing (NLP).

• Natural Language Processing (NLP) is a field of AI that enables computers to understand, interpret, and generate human language.

• Natural Language Processing is a method for processing images.

• Natural Language Processing focuses solely on speech recognition.

• NLP is a programming language for software development.