Summary
- AI enables machines to perform smart tasks. ML, a part of AI, allows machines to learn from data to make predictions or identify patterns without being explicitly programmed every time
- Supervised Learning (e.g., predicting student grades or customer purchases)
- Unsupervised Learning (e.g., grouping people by preferences or behavior)
- Linear Regression for predicting values
- Decision Trees for making decisions
- K- Means Clustering for finding patterns in data (overview)
EXERCISE
Multiple Choice Questions:
1. What is Artificial Intelligence (AI)?
- (a) Solving math problems by hand
- (b) Machines performing tasks like humans
- (c) Sending emails using a computer
- (d) Watching videos online
2. Which of the following is an example of AI?
- (a) A chatbot replying to your questions
- (b) Using a whiteboard
- (c) A TV remote
- (d) Typing on a keyboard
3. What is Machine Learning (ML)?
- (a) Teaching humans to use machines
- (b) Teaching machines to learn from data like human
- (c) Learning computer hardware basics
- (d) A machine without internet
4. Which app recommends videos using ML?
- (a) Google Maps
- (b) Microsoft Paint
- (c) YouTube
- (d) Windows Media Player
5. In supervised learning, the data is:
- (a) Unorganized
- (b) Without any answers
- (c) Labeled with correct answers
- (d) Only text-based
6. Which of the following is an example of unsupervised learning?
- (a) Predicting student marks
- (b) Identifying spam emails
- (c) Marking quizzes
- (d) Grouping students by interest without labels