Introduction to AI

1.In which type of machine learning is the data labeled with the desired output?

• การเรียนรู้ที่มีผู้สอน

• การเรียนรู้ที่ไม่มีผู้สอน

• การเรียนรู้แบบเสริมแรง

• การเรียนรู้เชิงลึก

2.An email spam filter that learns to identify spam emails based on labeled examples is an application of

• การเรียนรู้ที่มีผู้สอน

• การเรียนรู้ที่ไม่มีผู้สอน

• การเรียนรู้แบบเสริมแรง

• การเรียนรู้แบบถ่ายโอน

3. A machine learning algorithm that groups similar customer purchases into clusters for recommendation systems uses:

• a) Supervised Learning

• b) Unsupervised Learning

• c) Reinforcement Learning

• d) Neural Networks

4. 4.An AI agent playing a game and learning from its rewards and penalties is an example of

• a) Supervised Learning

• b) Unsupervised Learning

• c) Reinforcement Learning

• d) Evolutionary Learning

5. 5.Which of the following statements is NOT true about supervised learning?

• 5. a) Requires labeled data for training.

• 5. b) Used for classification and regression tasks.

• 5. c) Can be less efficient for large datasets.

• 5. d) Often used in image recognition applications

6. In an unsupervised learning scenario, the goal is to:

• a) Predict a specific output based on labeled data.

• b) Identify patterns and relationships within unlabeled data.

• c) Train an AI agent through rewards and penalties.

• d) Develop complex neural network architectures

 

7. Clustering algorithms are commonly used in unsupervised learning for:

• a) Spam filtering

• b) Image classification

• c) Stock price prediction

• d) Grouping similar data points

 

8. Reinforcement learning is particularly useful for scenarios where:

• a) Large amounts of labeled data are available.

• b) The desired outcome is clear, but the path to achieve it is unknown.

• c) The data is structured and easily categorized.

• d) The task requires reasoning and logical deduction.

9. Imagine an AI playing a game and learning to win by trial and error. This is an example of:

• a) Supervised Learning

• b) Unsupervised Learning

• c) Reinforcement Learning

• d) Natural Language Processing

10. Artificial neural networks are inspired by the structure and function of:

• a) The human brain

• b) Quantum computers

• c) Complex mathematical models

• d) High-speed processors