|
Term |
Definition |
Example |
|
Artificial Intelligence (AI) |
A computer’s ability to perform tasks that normally require human intelligence. |
Speech recognition, face unlock. |
|
Machine Learning (ML) |
A method where computers learn patterns from data to make predictions or decisions. |
AI learning to identify cats from cat photos. |
|
Training Data |
The examples we give to an AI to help it learn. |
100 photos of apples to teach “apple recognition.” |
|
Model |
The trained AI system that can recognize new things. |
A trained Teachable Machine that can detect hand gestures. |
|
Accuracy |
How well the AI identifies or predicts correctly. |
90% accuracy means 9 out of 10 correct answers. |
|
Bias |
When training data is unfair or unbalanced, leading to incorrect results. |
Teaching AI only “red apples” makes it fail with green ones. |
Lesson 1: What is AI and Why Should I Care?
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Lesson 2: Can Machines Think Like Me?
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Lesson 3: Train the Machine!
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Lesson 4: Bias in AI – Is That Fair?
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Lesson 5: Talking to Machines – Natural Language Processing (NLP)
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