AI Lesson 3 Review

What is Machine Learning (ML)?

• A type of AI that allows computers to learn and improve from experience without being explicitly programmed.

• A method of programming that uses specific rules and logic.

• A system that only uses traditional programming techniques.

• A type of AI that does not involve any data.

What does Machine Learning use to make predictions?

• Specific rules

• Data

• Manual calculations

• Fixed algorithms

What does Unsupervised Learning help with in customer segmentation?

• Using labeled data

• Discovering shopping behavior patterns

• Learning from feedback

• Training with rewards

Which learning type involves trial and error?

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Predictive Learning

What is the first step in training a machine learning model?

• Evaluating the Model

• Collecting Data

• Improving the Model

• Training the Model

What does collecting data involve in machine learning?

• Testing the model's accuracy

• Feeding data into an algorithm

• Gathering relevant examples

• Fine-tuning with more data

Which step involves fine-tuning with more data or better algorithms?

• Collecting Data

• Training the Model

• Evaluating the Model

• Improving the Model

What is the goal of evaluating the model in machine learning?

• To test the model's accuracy

• To gather relevant examples

• To feed data into an algorithm

• To fine-tune with more data

Which application of machine learning is used in retail?

• Diagnosing diseases

• Fraud detection

• Personalized product recommendations

• Autonomous vehicles

What can happen to jobs due to automation and machine learning?

• All jobs will be created

• All jobs will be destroyed

• Some jobs will be replaced

• No jobs will be affected