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Quiz Level 1
1. What does AI stand for?
Automated Intelligence
Augmented Interface
Artificial Intelligence
Actual Innovation
2. Which of these is an application of AI?
Gardening
Cooking
Self-driving cars
Painting
3. AI systems are trained using:
Water
Batteries
Fuel
Data
4. Which technology is closely related to AI?
Woodwork
Plumbing
Machine Learning
Tailoring
5. Which device often uses AI?
Toaster
Smartphone
Hammer
Screwdriver
6. AI is short for:
Audio Interface
Artificial Intelligence
Android Interface
Analog Indicator
7. Which company uses AI in its search engine?
Pepsi
Google
Lego
Nike
8. AI can be used to:
Translate languages
Cook food
Drive boats
Paint fences
9. The core of AI is:
Bricks
Fabric
Algorithms
Gasoline
10. AI helps in:
Digging holes
Writing books by hand
Detecting fraud
Sharpening pencils
Submit Level 1
Quiz Level 2
1. What is Machine Learning?
Programming manually
Training machines to learn from data
Building machines physically
Repairing machines
2. A common algorithm used in Machine Learning is:
Bubble Sort
Decision Tree
Long Division
Cross Stitch
3. Machine Learning needs:
Cement
Data
Nails
Paint
4. The goal of ML is to:
Build houses
Make predictions
Water plants
Cook meals
5. Which is a supervised learning task?
Drawing pictures
Reading books
Classifying emails as spam or not
Cleaning floors
6. Unsupervised learning:
Has labeled output
Has no labeled output
Uses hammers
Uses motors
7. Which field uses ML?
Plumbing
Healthcare
Carpentry
Fishing
8. Regression predicts:
Continuous values
Categories
Tools
Shapes
9. Clustering groups data by:
Painting
Similarity
Shape
Random choice
10. Which is NOT an ML library?
scikit-learn
Pandas
NumPy
WordPad
Submit Level 2
Quiz Level 3
1. What is Deep Learning?
Shallow training
Learning using neural networks
Memorizing texts
Skipping learning
2. Neural networks are inspired by:
Robots
Machines
Human brain
Computers
3. A unit in neural networks is called:
Wire
Neuron
Cell
Node
4. Deep Learning is best at:
Basic math
Image recognition
Cooking
Plumbing
5. CNN stands for:
Convolutional Neural Network
Central Neural Net
Core Net Node
Computer News Network
6. Deep Learning requires:
Few examples
No data
Large data sets
Glue
7. An epoch is:
A dance step
A calendar date
One full training cycle
A holiday
8. Activation functions:
Add non-linearity
Turn on lights
Store energy
Create charts
9. ReLU is:
An input method
An activation function
A learning rate
A loss metric
10. Backpropagation is used for:
Going backward in code
Debugging
Updating weights
Saving models
Submit Level 3