Vocabulary
What is information that is collected and used to understand something?
Data
A thermometer uses a sensor to detect what?
Temperature
What does a machine-learning model learn from?
Data
What do we look for in data to help us make predictions?
Patterns
What do students use the AI Lab to do?
Work with/train machine-learning models.
What device detects or measures something around it?
Sensor
A smartwatch can collect what type of information about your body?
Heart rate
What is a prediction?
answer/guess made using patterns in data
If students who study more usually score higher, what pattern do you notice?
More studying is connected to higher scores.
What does an AI model use to make a prediction?
Data/features
What is a piece of information used by a model to make a prediction?
Feature
Is a sensor the information collected, or the device that collects/measures it?
The device
What happens during training?
The model learns patterns from data.
What is a feature in a dataset?
A piece of information used to help make a prediction.
If you give an AI model examples so it can learn, what is that called?
Training
What is the answer or category a model is trying to predict?
Label
Give TWO examples of data a phone might collect.
location, movement, sound, temperature,
If an AI looks at pictures of cats and dogs to learn the difference, what is it doing?
Training
A dataset has the features “sweetness” and “ease of eating.” What could the model use these features to predict?
Whether something is liked/preferred or its category, depending on the task.
An AI model sees a new example it has never seen before and decides what category it belongs to. What is it doing?
Making a prediction/classification
What do we call the process of helping a machine-learning model learn from data?
Training
Explain the difference between a sensor and data.
A sensor detects/measures something; data is the information collected.
Why is good-quality data important when training an AI model?
It helps the model make better predictions.
Why do patterns in data matter to AI?
They help AI make predictions or decisions.
Explain how data, sensors, training, and predictions can all work together in a smart device.
A sensor collects data, the data is used to train a model, and the model uses what it learned to make predictions.