Understanding Machine Learning

What is a common application of AI in the medical field?

• Weather forecasting

• Designing video games

• Creating music

• Diagnosing patients

Which type of machine learning is used to find patterns without specific guidance?

• Supervised learning

• Predictive learning

• Reinforcement learning

• Unsupervised learning

In supervised learning, who checks the accuracy of the AI's predictions?

• A panel of experts

• Doctors and computer scientists

• The AI itself

• No one checks the accuracy

Which type of machine learning involves an AI learning from trial and error?

• Reinforcement learning

• Supervised learning

• Observational learning

• Unsupervised learning

What does reinforcement learning use to update treatment plans?

• Feedback from treatments

• Fixed treatment protocols

• Historical data

• Random selection methods

How do unsupervised and supervised learning programs interact in complex AI systems?

• They do not interact

• Supervised programs train unsupervised ones

• They operate independently

• Unsupervised programs send data to supervised ones

What role do neural networks play in AI?

• They simplify AI operations

• They prevent AI from learning

• They mimic brain neurons to handle complex tasks

• They reduce the need for data in AI systems

What is a key challenge in using self-taught AI models?

• They can only perform simple tasks

• They require constant human supervision

• Determining how they make decisions

• They are less accurate than human experts